Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:36:14.793307Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:36:14.793307Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 147 outbound references displayed
External citation measurements
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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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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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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 =
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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Preventing chronic disease , volume=
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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
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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Lawson and Russell S
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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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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 =
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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
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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
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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 =
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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Holan and Christopher K
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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
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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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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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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Brilleman and Laura D
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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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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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Reference 21
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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
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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Bunting and Staci A
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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Erdman and Leonard D
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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 =
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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
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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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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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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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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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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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 =
Reference 36
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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 =
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Reference 38
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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 =
Reference 39
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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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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Payne and James W
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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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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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Reference 45
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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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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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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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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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Reference 50
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Reference 51
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Reference 52
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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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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=
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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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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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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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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 =
Reference 58
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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 =
Reference 59
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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
Reference 60
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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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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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Reference 63
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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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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work
Reference 65
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Reference 66
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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 =
Reference 67
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Observation 4a5bff87-2324-4feb-81d8-e07c20d41d48 · outbound
Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Schieber and Gery P
Reference 68
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Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Mejia and Srekar N
Reference 69
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Reference 70
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Reference 71
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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
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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
Source-reported events for the cited work
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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
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Observation ad991b01-d206-45b3-87dc-1c361693a5e2 · outbound
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
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Observation 3f7c62eb-7cea-4739-a094-b6d4ba9e90bf · outbound
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
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Observation 355d3d5e-19d0-43b9-aead-e1a53baa5f21 · outbound
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Reference 77
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Observation 66d6a3c7-96dd-40d5-8a49-df9d69a30c16 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aaa5efe2-b5e8-4b13-90c1-7d470c3701d3 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e68e96a-d4d3-4985-8d30-7f4c11e89839 · outbound
Reference 80
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 47efb8db-6256-4e76-a85a-cee869715a70 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9bff8271-cdea-4d90-86ef-aec5179a5548 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c4f37b3-bc8b-4855-8e8c-acfc64ebede2 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 669e5cce-a311-40e1-95bd-d332833ffa28 · outbound
Reference 84
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ca249fd-980f-43cc-98ab-48f86ed71c0a · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 70489022-f1c8-4323-a28a-e22d4718e476 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0b8a35b6-30dc-437f-9ad8-9084694c8e02 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 74d7b343-88d8-4b44-8084-1262573c579f · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4979f726-891e-4add-abdb-a7d6af6f4fc2 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 95664e74-0a9b-4616-8c78-43f8398ee687 · outbound
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
Source-reported events for the cited work
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Observation 73e38bff-1805-498c-bd65-b873965e6aa7 · outbound
Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Science , volume=
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fea435a8-9fb5-4860-8f98-856f3ed10556 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e7818c98-8686-451f-a512-ec1f74be85d0 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 14b3fe44-a977-4f19-96e7-450eec7da569 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 49927d91-ffc1-44d3-b7a5-07bae0a4f57f · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0080c074-0cc6-45dd-aece-9210464487ab · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7abd07ea-bd1a-45af-ae83-1e1f78e06142 · outbound
Reference 97
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0f9197a-df9a-4d98-aa24-6666957b1086 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3f060501-cf7a-4085-8eb8-d4232c0ecff8 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ed53f7bc-eece-4b5c-9a88-fdc9eb55ca64 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
No inbound Pith citation observations are available.