A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity | Paper Citation Record

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , " * write output.state after.block = add.period write newline

Reference 1

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity write newline

Reference 2

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This paper cites title Inference from iterative simulation using multiple sequences (with discussion).

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Inference from iterative simulation using multiple sequences (with discussion)

Reference 3

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This paper cites , author Lucas, T.C.D.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Lucas, T.C.D

Reference 4

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 1994

Reference 5

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This paper cites , year 2008.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2008

Reference 6

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This paper cites On the behavior of the Generalized Alignment Index (GALI) method for regular motion in multidimensional Hamiltonian systems.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity On the behavior of the Generalized Alignment Index (GALI) method for regular motion in multidimensional Hamiltonian systems

Reference 7

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This paper cites , author Holan, S.H.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Holan, S.H

Reference 8

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This paper cites title 2020 Methodological Summary and Definitions.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title 2020 Methodological Summary and Definitions

Reference 9

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This paper cites title Drug overdose deaths: Drug overdose deaths remained high in 2021.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Drug overdose deaths: Drug overdose deaths remained high in 2021

Reference 10

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This paper cites , author Beletsky, L.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Beletsky, L

Reference 11

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This paper cites , author Simpson, D.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Simpson, D

Reference 12

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This paper cites A spatial variance-smoothing area level model for small area estimation of demographic rates.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity A spatial variance-smoothing area level model for small area estimation of demographic rates

Reference 13

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This paper cites , author Rao, J.N.K.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Rao, J.N.K

Reference 14

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This paper cites , year 2020.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2020

Reference 15

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This paper cites , author Tibshirani, R.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Tibshirani, R

Reference 16

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This paper cites title An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio

Reference 17

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity A Two-Stage Bayesian Small Area Estimation Approach for Proportions

Reference 18

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This paper cites Better together? Statistical learning in models made of modules.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Better together? Statistical learning in models made of modules

Reference 19

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This paper cites , author Ji, Y.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Ji, Y

Reference 20

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This paper cites title Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties

Reference 21

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This paper cites title A Dynamic Spatial Factor Model to Describe the Opioid Syndemic in Ohio.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title A Dynamic Spatial Factor Model to Describe the Opioid Syndemic in Ohio

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:17.604538Z

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This paper cites , author Padellini, T.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Padellini, T

Reference 23

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This paper cites , author Tatem, A.J.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Tatem, A.J

Reference 24

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This paper cites , author Wakefield, J.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Wakefield, J

Reference 25

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites , year 2018.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2018

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:17.393473Z

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This paper cites disaggregation: An R Package for Bayesian Spatial Disaggregation Modelling.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity disaggregation: An R Package for Bayesian Spatial Disaggregation Modelling

Reference 27

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This paper cites title Only 1 in 5 u.s.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Only 1 in 5 u.s

Reference 28

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This paper cites title Opioid use disorder: What is oud? https://nida.nih.gov/research-topics/opioids/opioid-use-disorder.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Opioid use disorder: What is oud? https://nida.nih.gov/research-topics/opioids/opioid-use-disorder

Reference 29

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites title Programming with models: Writing statistical algorithms for general model structures with NIMBLE.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Programming with models: Writing statistical algorithms for general model structures with NIMBLE

Reference 30

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Source-reported events for the cited work

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This paper cites , author Guranich, G.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Guranich, G

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:16.723969Z

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This paper cites A Bayesian Spatial Berkson error approach to estimate small area opioid mortality rates accounting for population-at-risk uncertainty.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity A Bayesian Spatial Berkson error approach to estimate small area opioid mortality rates accounting for population-at-risk uncertainty

Reference 32

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8d3a53d0-4341-448e-bf25-fd2e9eb86963 · outbound

This paper cites , year 2015.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2015

Reference 33

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Observation d0d50d95-dd67-4eb7-a9c7-6ea17203ece8 · outbound

This paper cites , year 2017.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2017

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:16.533936Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites Census Bureau , year 2019.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Census Bureau , year 2019

Reference 35

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites , author Bender, A.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Bender, A

Reference 36

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This paper cites , author Molina, I.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Molina, I

Reference 37

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites , author Unick, G.J.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Unick, G.J

Reference 38

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This paper cites , author Martino, S.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Martino, S

Reference 39

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Source-reported events for the cited work

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This paper cites , et al., year 2024.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , et al., year 2024

Reference 40

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites , author Held, L.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Held, L

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:15.506920Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites title 2021 national survey on drug use and health.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title 2021 national survey on drug use and health

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:15.355299Z

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This paper cites , author Goicoa, T.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Goicoa, T

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:15.222938Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e787d56-9535-486f-94eb-1df6be680695 · outbound

This paper cites , year 2016.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2016

Reference 44

Resolution: verified exact; doi, observed 2026-08-07T11:32:11.690530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a5d9c48-3496-4f4c-b5fe-eb69a495131f · outbound

This paper cites , year 2023.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2023

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:15.074056Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites Census Bureau , year 2025.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Census Bureau , year 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:14.924392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites Department of Health and Human Services , year 2020 a.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Department of Health and Human Services , year 2020 a

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:14.724416Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d682fe3c-cf0d-4f95-a826-a2354715d4eb · outbound

This paper cites Department of Health and Human Services , year 2020 b.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Department of Health and Human Services , year 2020 b

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:14.555469Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites , author Gelman, A.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Gelman, A

Reference 49

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This paper cites , year 2007.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2007

Reference 50

Resolution: verified exact; doi, observed 2026-08-07T11:32:11.524224Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites , year 2020.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2020

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:14.303052Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80cd4b4c-865a-4a52-b616-99e750f6ab65 · outbound

This paper cites , author Gotway, C.A.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Gotway, C.A

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T11:32:11.336134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18b71617-646f-4d1e-ba68-97ab97f60c79 · outbound

This paper cites , author Best, N.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Best, N

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:14.178658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 488a9dc3-4125-4c60-adae-1d45026bd28a · outbound

This paper cites , author Rao, J.N.K.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Rao, J.N.K

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:14.071501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers