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Paper Citation Record · LEDGER

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality

As of 19 August 2026, this Paper Citation Record lists 100 of 147 outbound references and 0 inbound Pith citation observations for arXiv:2608.09103.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.09103 v1

Coverage vector

measured 100 of 147 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:36:14.793307Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 147 outbound references displayed

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  • verified fuzzy24
  • unresolved73
  • parse uncertain0
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External citation measurements

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Outbound references

Observation ad32dd3c-59b7-41dd-9f74-453684c17d8c · outbound

This paper cites Shane and Ekwueme, Donatus U.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Shane and Ekwueme, Donatus U

Reference 1

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Observation cf4785cd-541b-444b-a1bf-42c70fbd09e6 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 2

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Observation b997518d-1db3-4ab0-8f04-98fdc0301a7a · outbound

This paper cites Estimating county-level mortality rates using highly censored data from CDC WONDER , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Estimating county-level mortality rates using highly censored data from CDC WONDER , volume =

Reference 3

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Observation 745cd4de-536b-493c-ac63-8adaf04e06ec · outbound

This paper cites Preventing chronic disease , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Preventing chronic disease , volume=

Reference 4

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Observation 57e7a173-4f74-4081-8e6d-7c05d0180862 · outbound

This paper cites Lawson and Rachel Carroll and Christel Faes and Russell S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Lawson and Rachel Carroll and Christel Faes and Russell S

Reference 5

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Observation abe0a2d0-f231-408c-a517-80512d2f1f04 · outbound

This paper cites Lawson and Russell S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Lawson and Russell S

Reference 6

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Observation 1969ff8e-ff37-428d-b71f-85f7b48d9b02 · outbound

This paper cites 2023 , note =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2023 , note =

Reference 7

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Observation e3de6a73-da60-4f1e-9320-5dcb9d63df27 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 8

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Observation 9c2a4cfd-4a18-4f91-ac83-fcdd205d31e8 · outbound

This paper cites Friedman and Helena Hansen , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Friedman and Helena Hansen , doi =

Reference 9

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Observation 2bdf9b53-7da9-402f-bd20-31a1d7491bb4 · outbound

This paper cites Drug Overdose Deaths in the United States, 2001–2021.NCHS Data Brief, no 457.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Drug Overdose Deaths in the United States, 2001–2021.NCHS Data Brief, no 457

Reference 10

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Observation 1556f78e-0fde-4683-8654-1bec75c32e0f · outbound

This paper cites 2023 , note =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2023 , note =

Reference 11

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Observation f5a31914-8d1d-45a7-b76c-55917f91eef3 · outbound

This paper cites Larochelle and Svetla Slavova and Elisabeth D.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Larochelle and Svetla Slavova and Elisabeth D

Reference 12

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Observation 7537178c-a3c1-49c8-826e-876670927192 · outbound

This paper cites JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software , url =

Reference 13

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Observation fc47bd15-9f51-4566-9d75-39892e7052a7 · outbound

This paper cites Holan and Christopher K.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Holan and Christopher K

Reference 14

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Observation 46bbf248-6f11-4ff4-bcf0-d0f5fed20923 · outbound

This paper cites Holan and Daniell Toth and Marco A.R.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Holan and Daniell Toth and Marco A.R

Reference 15

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Observation bc241d62-cae3-48d2-b4a4-c619ba965fea · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 16

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Observation 9568b56a-f609-4c46-b6f6-e04437264d77 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 17

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Observation de474dea-96a7-474f-ade0-675ac752cced · outbound

This paper cites Brilleman and Laura D.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Brilleman and Laura D

Reference 18

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Observation 74889d05-aae5-4c93-a285-165beb9ed6aa · outbound

This paper cites Andrew Gelman and Jennifer Hill: Data analysis using regression and multilevel/hierarchical models , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Andrew Gelman and Jennifer Hill: Data analysis using regression and multilevel/hierarchical models , volume =

Reference 19

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Observation cbe45a9e-65b6-40b2-98e6-dba0bb4fb1cb · outbound

This paper cites Bayesian aggregation of average data: An application in drug development , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Bayesian aggregation of average data: An application in drug development , volume =

Reference 20

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Observation 70aa84bf-a086-4639-951e-a0655d4b3492 · outbound

This paper cites RUBIN , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality RUBIN , doi =

Reference 21

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Observation 3118ec79-44be-4136-81ec-1a8795a747cf · outbound

This paper cites Little , issue =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Little , issue =

Reference 22

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Observation e3dd5739-8695-4da8-b0cc-2eaf45f88f86 · outbound

This paper cites Wide-ranging Online Data for Epidemiologic Research.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Wide-ranging Online Data for Epidemiologic Research

Reference 23

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source=arxiv_source observed=2026-08-11T23:36:14.548626Z digest=sha256:bc223a810d8f2d4b6e295855efae9787abef19c5e76e854ea19a0b35bdd18ff1

Observation f9e06977-a09f-4283-9bf6-9b0f66a004d3 · outbound

This paper cites Drug Overdose Deaths Among Non-Hispanic Black Men in the U.S.: Age-Specific Projections Through 2025 , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Drug Overdose Deaths Among Non-Hispanic Black Men in the U.S.: Age-Specific Projections Through 2025 , volume =

Reference 24

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Observation 0ea7929d-92b7-4714-ab6d-7d93cd68f5b4 · outbound

This paper cites Kleinman , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Kleinman , doi =

Reference 25

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Observation 223edf9d-07d7-4d12-9f56-66e704ec985c · outbound

This paper cites Bunting and Staci A.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Bunting and Staci A

Reference 26

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Observation 0bd4db60-d0ee-41e5-b91e-f0181b98804b · outbound

This paper cites Erdman and Leonard D.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Erdman and Leonard D

Reference 27

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Observation dbf37943-ab23-44b7-a9ad-67acb1c371e9 · outbound

This paper cites Fridley and Philip Dixon , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Fridley and Philip Dixon , doi =

Reference 28

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Observation 23ca25e9-831f-4061-b06c-c0421814a49a · outbound

This paper cites Brillinger , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Brillinger , doi =

Reference 29

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Observation 15e056ce-ecf0-41b8-9f3a-2110177627b8 · outbound

This paper cites Neutral noninformative and informative conjugate beta and gamma prior distributions , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Neutral noninformative and informative conjugate beta and gamma prior distributions , volume =

Reference 30

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Observation 5235f8a5-977e-4276-acf2-47769d874c9a · outbound

This paper cites Hassan and Ric Bayly and Jack Cordes and Dana Bernson and Cedric Woods and Xiaona Li and Wenjun Li and Leland K.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Hassan and Ric Bayly and Jack Cordes and Dana Bernson and Cedric Woods and Xiaona Li and Wenjun Li and Leland K

Reference 31

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Observation 51041817-64eb-4a0d-be89-05bf90529795 · outbound

This paper cites A comparison of zero-inflated and hurdle models for modeling zero-inflated count data , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A comparison of zero-inflated and hurdle models for modeling zero-inflated count data , volume =

Reference 32

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Observation c713ca19-7a97-4a13-9000-fd252094e07c · outbound

This paper cites Zero to k Inflated Poisson Regression Models with Applications , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Zero to k Inflated Poisson Regression Models with Applications , volume =

Reference 33

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Observation 6ff922ce-dcb0-4099-adbe-1edd46468e29 · outbound

This paper cites On estimation of the Poisson parameter in zero-modified Poisson models , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality On estimation of the Poisson parameter in zero-modified Poisson models , volume =

Reference 34

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Observation 3f89e76b-c1ef-46b5-9f7e-7950a8257784 · outbound

This paper cites Yu , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Yu , doi =

Reference 35

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source=arxiv_source observed=2026-08-11T23:36:14.583359Z digest=sha256:f70a133fd00d573d6e4d486b21c508c65300b12f0101b54afb829dfda28fd35c

Observation ad7ed305-df87-471c-81b5-cff46dd026a2 · outbound

This paper cites A lack-of-fit test for parametric zero-inflated Poisson models , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A lack-of-fit test for parametric zero-inflated Poisson models , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.586214Z digest=sha256:35ed5f4b06c33b54ffb47ad4576ca066fbe16a3896228c961d2aa4baba20cdb8

Observation 440f43d0-4746-49ae-a304-ac889ebdbc49 · outbound

This paper cites Zero-inflated poisson regression, with an application to defects in manufacturing , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Zero-inflated poisson regression, with an application to defects in manufacturing , volume =

Reference 37

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source=arxiv_source observed=2026-08-11T23:36:14.588994Z digest=sha256:8a68f1c7008677bc3e4a20c744008d730abd0dadf3580ec37860a1d8b7e2b297

Observation a15b58ec-7b4f-425b-a27f-02f5642bec40 · outbound

This paper cites Dean and Erin R.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Dean and Erin R

Reference 38

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source=arxiv_source observed=2026-08-11T23:36:14.591876Z digest=sha256:e8a396a082f344816a8fabb79918ead8f4ffa7b0fcfb238dc4991df1f5be69d0

Observation 380752eb-443c-4b8d-b842-44cd47a4509a · outbound

This paper cites Some remarks on overdispersion , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Some remarks on overdispersion , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.594609Z digest=sha256:35a7a8cf105ce57b177da9e0939e22febd0a724411585e53c47124e106bf48ff

Observation 386985d1-bf53-4ed7-b568-9cb84a3f18fb · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 40

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source=arxiv_source observed=2026-08-11T23:36:14.597436Z digest=sha256:cb28fe98e1d3d25b2b0a2eee6c46f6270643ae60c6e2cba4d67b85d2a9e73793

Observation 01de8a11-58ed-43c4-ac39-78d628fc1dbd · outbound

This paper cites Payne and James W.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Payne and James W

Reference 41

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source=arxiv_source observed=2026-08-11T23:36:14.600913Z digest=sha256:a60de0ca730300d1e01e4ac9655897971351ae75cf488460d08f424a91c5c460

Observation 1f42542b-ead6-4c30-a680-c4fe81504052 · outbound

This paper cites A shared component model for detecting joint and selective clustering of two diseases , year =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A shared component model for detecting joint and selective clustering of two diseases , year =

Reference 42

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source=arxiv_source observed=2026-08-11T23:36:14.604557Z digest=sha256:21e40ccf03382bb36514150d61d698c8749714b767bee9a3d7cfc2e2f5e0d4c1

Observation c48ec938-18fa-4ab2-816c-c4e55a3dcd69 · outbound

This paper cites Bayesian modelling of inseparable space-time variation in disease risk , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Bayesian modelling of inseparable space-time variation in disease risk , volume =

Reference 43

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source=arxiv_source observed=2026-08-11T23:36:14.608081Z digest=sha256:19df3123f414dc76e61ca8c2fcb42d5d70da871c700eb1ed634c74c918b006d6

Observation d5ec1610-fc91-4dea-99a5-29b458655f3d · outbound

This paper cites 2024 , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , url =

Reference 44

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no resolver link, observed 2026-08-11T23:36:14.611534Z

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source=arxiv_source observed=2026-08-11T23:36:14.611534Z digest=sha256:322f9f2fee89259c8771870f5ed59c7f9ddc11e17260f1e072f952e18ec7afc9

Observation 48145432-325e-4d2a-9eb5-d5c7de5e5425 · outbound

This paper cites 2024 , version =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , version =

Reference 45

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no resolver link, observed 2026-08-11T23:36:14.615426Z

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source=arxiv_source observed=2026-08-11T23:36:14.615426Z digest=sha256:55679b4fad37771a210c07fde2db2a0926b1804994856141d641de66e1bbd02c

Observation 23e38c81-246b-4582-87a9-7dfc69991a53 · outbound

This paper cites Big data and predictive modelling for the opioid crisis: existing research and future potential , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Big data and predictive modelling for the opioid crisis: existing research and future potential , volume =

Reference 46

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source=arxiv_source observed=2026-08-11T23:36:14.619105Z digest=sha256:b1b194c8ff8b23c1a9c30fca1b5ef179c9fabf057ca7fe67d21049038e4f47f4

Observation 937a596f-19ac-4fe4-bd6c-8227df038141 · outbound

This paper cites Development and validation of a risk-score model for opioid overdose using a national claims database , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Development and validation of a risk-score model for opioid overdose using a national claims database , volume =

Reference 47

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source=arxiv_source observed=2026-08-11T23:36:14.622733Z digest=sha256:87289d30ca46fa097bf5d3f3d3f1a9a39f7bba931aa6377b2145c2ef18549915

Observation e6d01dd7-55ba-4ebb-b854-ae20657dd3de · outbound

This paper cites Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study , volume =

Reference 48

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source=arxiv_source observed=2026-08-11T23:36:14.625624Z digest=sha256:2ee1aa5dc6d2306fb438b41b6405ff0811a7211865d198dc51ff47d5e2638b88

Observation f15f38ea-1281-4aed-97dd-ea5bc7f6cb26 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-11T23:36:14.628452Z digest=sha256:a6b353beaf789a38dc1ff21b4538ade015a43ec1c6d883a86f38473a4ec662d1

Observation 95873d9b-df5e-4aea-9cdd-74065a8b340a · outbound

This paper cites 2024 , urldate =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , urldate =

Reference 50

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source=arxiv_source observed=2026-08-11T23:36:14.631201Z digest=sha256:68145bad0aa2d4e0b50327b3d3186d7aa4764ac63de0e05a4b246f2e493b86cc

Observation d9c08c71-ec2e-40c8-ba78-3df1bee5b2bf · outbound

This paper cites Miniño , city =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Miniño , city =

Reference 51

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source=arxiv_source observed=2026-08-11T23:36:14.635083Z digest=sha256:938fbb9ecb03e1b1dcb753249c91d57ab3d41a76be742c05f26748e304e2d974

Observation 8f632b7a-5351-4c4f-b336-a6703a3dc47c · outbound

This paper cites Shover , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Shover , doi =

Reference 52

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no resolver link, observed 2026-08-11T23:36:14.638241Z

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source=arxiv_source observed=2026-08-11T23:36:14.638241Z digest=sha256:1674cf544f8f825ccddfee75af745f7328722e746d5875311502baa790d29e65

Observation cd104e1f-74c5-4b13-b8f9-f83babe4ecce · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 53

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source=arxiv_source observed=2026-08-11T23:36:14.641399Z digest=sha256:e32d6b7c005e7b9983f657b01fde19c0589db9d9fcbb55456f4d3b4ad0734b83

Observation cceef3ff-2435-4b13-beec-9610a06255d8 · outbound

This paper cites SPATIOTEMPORAL MODELING OF OPIOID ABUSE AND DEPENDENCE OUTCOMES USING BAYESIAN HIERARCHICAL METHODS , school=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality SPATIOTEMPORAL MODELING OF OPIOID ABUSE AND DEPENDENCE OUTCOMES USING BAYESIAN HIERARCHICAL METHODS , school=

Reference 54

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source=arxiv_source observed=2026-08-11T23:36:14.644671Z digest=sha256:b5783f34d7036b78a49e60e488db848963df9e1957dfd21964c237cbd3e7a2b4

Observation d7cac296-981a-414e-b666-bf30ac70df8c · outbound

This paper cites Daunter and Steven R.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Daunter and Steven R

Reference 55

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no resolver link, observed 2026-08-11T23:36:14.648312Z

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source=arxiv_source observed=2026-08-11T23:36:14.648312Z digest=sha256:4da6f8ecdb018593640ad65dc2880bc6412f6b34a043b27513a20368bdff2dae

Observation 73668e33-c43b-4973-9aa4-092f5d27e442 · outbound

This paper cites Applied Missing Data Analysis by Craig K Enders , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Applied Missing Data Analysis by Craig K Enders , volume =

Reference 56

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source=arxiv_source observed=2026-08-11T23:36:14.651783Z digest=sha256:e39762646c977738cb6ea79064cfc7d2ef4fee1b00a3b538900267791e7a8bbd

Observation 635e13a4-9216-438d-bf52-83beb70c4008 · outbound

This paper cites Donohue and Eric G.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Donohue and Eric G

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source=arxiv_source observed=2026-08-11T23:36:14.655535Z digest=sha256:3b11a8614ae301e015d128cecb6c1743031dc5617f178502ded0057c48e26ec6

Observation 194d7a97-285c-468e-8e19-d2ca8b9049cb · outbound

This paper cites <b>mice</b> : Multivariate Imputation by Chained Equations in <i>R</i> , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality <b>mice</b> : Multivariate Imputation by Chained Equations in <i>R</i> , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.658837Z digest=sha256:353ddc19b63855614465e8163d689a88783fb19f91838ce4831c871989eb43f2

Observation afa1a7a5-106f-4649-972f-743167a6e98e · outbound

This paper cites The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.662133Z digest=sha256:072faf60df881997d80de9fa621afcae1cdcec8b5bcb6953fdbca70b61a24bbf

Observation 5033314b-81ab-48ed-b0c4-3c656be2980b · outbound

This paper cites Allen and Allison O’Rourke and Jessica.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Allen and Allison O’Rourke and Jessica

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source=arxiv_source observed=2026-08-11T23:36:14.665312Z digest=sha256:3e2de308264e0f2ce039939d65b6b5e8f7ad82e5abaac6e60aadb70fcd40b1e2

Observation abdd1b71-5294-41e0-adbf-119f123299c2 · outbound

This paper cites Courtwright and Catherine S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Courtwright and Catherine S

Reference 61

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source=arxiv_source observed=2026-08-11T23:36:14.668982Z digest=sha256:d891c1e94c1b1dfa316d6ae05eb1dbfa92489219c36b35dafb784930306f11af

Observation 883a70b8-7502-4ace-a2df-ce40e7666b7e · outbound

This paper cites Rudd and Puja Seth and Felicita David and Lawrence Scholl , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Rudd and Puja Seth and Felicita David and Lawrence Scholl , doi =

Reference 62

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source=arxiv_source observed=2026-08-11T23:36:14.672729Z digest=sha256:b5de37e51d093203e47ef52c52d6651c396862207e4b46b9da229bd7c7633a12

Observation 9130a244-8b8b-45a5-9f11-e8ce091fb055 · outbound

This paper cites Statistical Learning with Sparsity , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Statistical Learning with Sparsity , url =

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source=arxiv_source observed=2026-08-11T23:36:14.676307Z digest=sha256:04e8660ebd5831b3e70ffa03c1a2c5ea420d958edf2209d8553b9569e0afa623

Observation 370b9b01-8d36-489d-8655-fcb1ba2f3a68 · outbound

This paper cites Mattson and Lauren J.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Mattson and Lauren J

Reference 64

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source=arxiv_source observed=2026-08-11T23:36:14.679619Z digest=sha256:437b5975a26ac1120c8e93a61a261b56182de882621fad3660b78a4caadd0f08

Observation 5335d594-9131-4881-b966-0558e08b0b43 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

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source=arxiv_source observed=2026-08-11T23:36:14.683041Z digest=sha256:01e1a2edfc824280a385f75b4b8b4594e7977f063ec4b56d5b0e5ef03e1b1a3f

Observation 581e9d60-0f88-4ae3-89dd-dfbcf59fc309 · outbound

This paper cites Flexible Imputation of Missing Data, Second Edition , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Flexible Imputation of Missing Data, Second Edition , url =

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source=arxiv_source observed=2026-08-11T23:36:14.686420Z digest=sha256:4aa9c002a858a227dca70213e858c1923bd698e72a829205ae11c1f7c5d8e373

Observation 9cb5ce48-9a1d-424c-ab5f-d762aebb2512 · outbound

This paper cites Drug Overdose Deaths in the United States, 2002-2022 , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Drug Overdose Deaths in the United States, 2002-2022 , url =

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verified exact
doi, observed 2026-08-11T23:36:14.952446Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.689690Z digest=sha256:dbf2d74d4a519756caa802870037eabb1935951c852edc7b1c072ded46625838

Observation 4a5bff87-2324-4feb-81d8-e07c20d41d48 · outbound

This paper cites Schieber and Gery P.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Schieber and Gery P

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source=arxiv_source observed=2026-08-11T23:36:14.693256Z digest=sha256:8bbaf7524731b483272fdc3233ec0a5323fe3c05c4925add9812069887d057b7

Observation 65e2bfea-13ca-4168-b927-22d9f2fe58d0 · outbound

This paper cites Mejia and Srekar N.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Mejia and Srekar N

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source=arxiv_source observed=2026-08-11T23:36:14.696795Z digest=sha256:125b07b520242f67f8ae7102149914666ba54de58cddca8fb2ae9aae6f233432

Observation 446b39c0-3155-412b-8abb-1d2ee3cf799b · outbound

This paper cites Jones and Shashim A.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Jones and Shashim A

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source=arxiv_source observed=2026-08-11T23:36:14.700327Z digest=sha256:a6ee19c47bfa50c37a2dd62011db1bc108d7b1c7d1ae2c2cd7dd18d79fd7af19

Observation d79b5f46-1e6f-4e23-bf62-617ec5ac34e0 · outbound

This paper cites Donnelly , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Donnelly , doi =

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.703599Z digest=sha256:c9f4f7239e9a10f0d21503d08a26f2b2efe80b2f34a5d57336e81282d3bd1490

Observation 8532d3ba-0690-425b-ab22-4934ba38a9fd · outbound

This paper cites Polysubstance mortality trends in White and Black Americans during the opioid epidemic, 1999–2018 , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Polysubstance mortality trends in White and Black Americans during the opioid epidemic, 1999–2018 , volume =

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.706876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.706876Z digest=sha256:21aa83deaf10183dc3b901a28bb91b7e61dcf55c3cac6a1dba502783120eb09e

Observation 1ae322ca-27bd-451b-b852-bd9b59e6e8db · outbound

This paper cites Brinzo and Silvia S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Brinzo and Silvia S

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.627058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.710438Z digest=sha256:fda80a544d1efac0ce8d0e750695ad603e1cdcae67c840eb1b47cd4739265572

Observation a6ca88e4-6688-4687-9e91-aae8cbf9fa80 · outbound

This paper cites Impact of opioid overdoses on US life expectancy and years of life lost, by demographic group and stimulant co-involvement: a mortality data analysis from 2019-2022 , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Impact of opioid overdoses on US life expectancy and years of life lost, by demographic group and stimulant co-involvement: a mortality data analysis from 2019-2022 , volume =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.617731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.713482Z digest=sha256:130f3e9290fd4371999cf037dcfc7e2349369e106d8d09d887c81c4c45d1784e

Observation ad991b01-d206-45b3-87dc-1c361693a5e2 · outbound

This paper cites Using Precision Epidemiology to Identify Racialized Disparities in Overdose Mortality , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Using Precision Epidemiology to Identify Racialized Disparities in Overdose Mortality , url =

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.607746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.716362Z digest=sha256:42b678a386d22bc980decfb1663c14a80bcd9b4f0b3ca680d34779d8f7117b0f

Observation 3f7c62eb-7cea-4739-a094-b6d4ba9e90bf · outbound

This paper cites Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.598528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.720116Z digest=sha256:424d3a11484c2f97d6f72e6cfc9228d785531ab49ae1e5d0be5c919281644cda

Observation 355d3d5e-19d0-43b9-aead-e1a53baa5f21 · outbound

This paper cites Knuth: Computers and Typesetting.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Knuth: Computers and Typesetting

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.723641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.723641Z digest=sha256:8439c9c144ed372b42a5169703c750566a6395d7867e352420e73a42f6e0d740

Observation 66d6a3c7-96dd-40d5-8a49-df9d69a30c16 · outbound

This paper cites Intrinsic Gaussian Markov random fields , year =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Intrinsic Gaussian Markov random fields , year =

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.584146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.727287Z digest=sha256:42f08cbc088bda52545f5ba40323db13b2791f9c2d3d41ada090db3c8d2584d0

Observation aaa5efe2-b5e8-4b13-90c1-7d470c3701d3 · outbound

This paper cites A class of models for large zero-inflated spatial data , year =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A class of models for large zero-inflated spatial data , year =

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.575892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.730869Z digest=sha256:7ee04c5d1b47879b00e067299f65227a28038c5054646890b447d29e0e8496eb

Observation 0e68e96a-d4d3-4985-8d30-7f4c11e89839 · outbound

This paper cites 2024 , note =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , note =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.566089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.734198Z digest=sha256:db6b778ab04b58ab7d823d83ad72c1971531e433522de865d549f1a56e2a301a

Observation 47efb8db-6256-4e76-a85a-cee869715a70 · outbound

This paper cites Rao Chaganty , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Rao Chaganty , doi =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.556380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.738066Z digest=sha256:0d2ece9cd8a567eeed63976812bb743f2c7db4c817babfd02d07246b2808ca37

Observation 9bff8271-cdea-4d90-86ef-aec5179a5548 · outbound

This paper cites A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data , volume =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.547337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.741282Z digest=sha256:b82e6dece9414fac11c75dc95570854c8927371c7172fa20f12ce98a66a9aec0

Observation 6c4f37b3-bc8b-4855-8e8c-acfc64ebede2 · outbound

This paper cites Macdonald and George Tzougas and George Streftaris , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Macdonald and George Tzougas and George Streftaris , doi =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.538032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.744765Z digest=sha256:65c25e0690155bc09fe1858b7aa103ae3563a110effe24c695d25c0f7b7bde1a

Observation 669e5cce-a311-40e1-95bd-d332833ffa28 · outbound

This paper cites Axalan and M.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Axalan and M

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.527541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.747611Z digest=sha256:96146a3e3d8be010239af38fc53e5e2e6f88c5d6d68f6560a8ca672d8c2c18c6

Observation 1ca249fd-980f-43cc-98ab-48f86ed71c0a · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.517001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.750476Z digest=sha256:eac66003ca6fd933586caa2ec71a92ea86bc698538e8c8a475586aef027f3f1d

Observation 70489022-f1c8-4323-a28a-e22d4718e476 · outbound

This paper cites The Annals of Applied Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality The Annals of Applied Statistics , volume=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.507631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.753031Z digest=sha256:4e21bd0eb851f490308193c18954c217b3b3960a9bbcfd63ca2634e79a662250

Observation 0b8a35b6-30dc-437f-9ad8-9084694c8e02 · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.498673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.755582Z digest=sha256:dac00389822dbd9274ee598c6fc3653a20655bed27fd92d7d6b26d2c1f7c4280

Observation 74d7b343-88d8-4b44-8084-1262573c579f · outbound

This paper cites The annals of applied statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality The annals of applied statistics , volume=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.488943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.758474Z digest=sha256:312545c516d76c9be8562ffac993b653530c6eb13923034f1ef8eeea06b7463b

Observation 4979f726-891e-4add-abdb-a7d6af6f4fc2 · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.479923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.762130Z digest=sha256:e91cacc6c8d39905b6d8979fc1b898dda8e1e41276e6d68a3cef6daed42a0987

Observation 95664e74-0a9b-4616-8c78-43f8398ee687 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of the American Statistical Association , volume=

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.765028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.765028Z digest=sha256:5427a1f3057c47255364ded7320b5c7969a3364661b14fe78b569761e4160398

Observation 73e38bff-1805-498c-bd65-b873965e6aa7 · outbound

This paper cites Science , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Science , volume=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.466315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.767881Z digest=sha256:1095eb51a59391dfd0f0966eb8735cb51c9538ec203f14170b777736374c56be

Observation fea435a8-9fb5-4860-8f98-856f3ed10556 · outbound

This paper cites US Census Bureau , year=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality US Census Bureau , year=

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.457447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.770573Z digest=sha256:d88aba2bb7933e8aacd48ea989d2d933f86ad4f89e4c8fdac7babc38e6ee2431

Observation e7818c98-8686-451f-a512-ec1f74be85d0 · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.448015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.773512Z digest=sha256:025f77117af8f297fc1d4269aff1a6fd163a5e085ac493a88334280ad424a898

Observation 14b3fe44-a977-4f19-96e7-450eec7da569 · outbound

This paper cites Journal of Substance Abuse Treatment , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Substance Abuse Treatment , volume=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.438837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.776319Z digest=sha256:d138330be2c3d2e256fb40b3dcfd92e95cf7af2f8158c658f6ca7445d0ca00f1

Observation 49927d91-ffc1-44d3-b7a5-07bae0a4f57f · outbound

This paper cites Journal of computational and graphical statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of computational and graphical statistics , volume=

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.779126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.779126Z digest=sha256:2297cd2a2c550dd1f3a5975d964a407613362c78ceeb340a583a59a466b5918d

Observation 0080c074-0cc6-45dd-aece-9210464487ab · outbound

This paper cites Journal of Open Source Software , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Open Source Software , volume=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.423395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.781962Z digest=sha256:364f679277929e3e86749527fa25ec1d3bba5667c5806d6ee79efbd7168ff75b

Observation 7abd07ea-bd1a-45af-ae83-1e1f78e06142 · outbound

This paper cites , author=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality , author=

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.784834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.784834Z digest=sha256:a9d04b6d3e1e07034b2b614558a39438317b677109f4b15e327da24949c60e86

Observation b0f9197a-df9a-4d98-aa24-6666957b1086 · outbound

This paper cites Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.409994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.787621Z digest=sha256:d559e561923470bd1401a69ade87b99f282618462c395fbcea4236a127f297cd

Observation 3f060501-cf7a-4085-8eb8-d4232c0ecff8 · outbound

This paper cites Science Advances , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Science Advances , volume=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.401134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.790279Z digest=sha256:5aac4c877f4565792e9ca53889b560e0edbd634ad695b9955b2f4aae9b7acdab

Observation ed53f7bc-eece-4b5c-9a88-fdc9eb55ca64 · outbound

This paper cites Health Services and Outcomes Research Methodology , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Health Services and Outcomes Research Methodology , volume=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.392701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.793307Z digest=sha256:55b2189e30fea9ef26a662f30132b6929ef7b7329a3079802aa89a4c2ee2b450

Pith citing papers

No inbound Pith citation observations are available.