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Connection

David Kline to Bayes Theorem

This is a "connection" page, showing publications David Kline has written about Bayes Theorem.
Connection Strength

0.759
  1. Kline D, Li Z, Chu Y, Wakefield J, Miller WC, Norris Turner A, Clark SJ. Estimating seroprevalence of SARS-CoV-2 in Ohio: A Bayesian multilevel poststratification approach with multiple diagnostic tests. Proc Natl Acad Sci U S A. 2021 06 29; 118(26).
    View in: PubMed
    Score: 0.199
  2. Kline D, Pan Y, Hepler SA. Spatiotemporal Trends in Opioid Overdose Deaths by Race for Counties in Ohio. Epidemiology. 2021 03 01; 32(2):295-302.
    View in: PubMed
    Score: 0.195
  3. Hepler S, McKnight E, Bonny A, Kline D. A Latent Spatial Factor Approach for Synthesizing Opioid-Associated Deaths and Treatment Admissions in Ohio Counties. Epidemiology. 2019 05; 30(3):365-370.
    View in: PubMed
    Score: 0.171
  4. Wang J, Doogan N, Thompson K, Bernson D, Feaster D, Villani J, Chandler R, White LF, Kline D, Barocas JA. Massachusetts Prevalence of Opioid Use Disorder Estimation Revisited: Comparing a Bayesian Approach to Standard Capture-Recapture Methods. Epidemiology. 2023 Nov 01; 34(6):841-849.
    View in: PubMed
    Score: 0.058
  5. Rayo MF, Faulkner D, Kline D, Thornhill Iv T, Malloy S, Della Vella D, Morey DA, Zhang N, Gonsalves G. Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study. JMIR Public Health Surveill. 2023 Aug 15; 9:e39754.
    View in: PubMed
    Score: 0.058
  6. Bressler CJ, Letson MM, Kline D, McCarthy T, Davis J, Leonard JC. Characteristics of Neighborhoods Where Emergency Medical Services Encounter Children at Risk for Maltreatment. Prehosp Emerg Care. 2019 Sep-Oct; 23(5):672-682.
    View in: PubMed
    Score: 0.042
  7. McKnight ER, Bonny AE, Lange HLH, Kline DM, Abdel-Rasoul M, Gay JR, Matson SC. Statewide opioid prescriptions and the prevalence of adolescent opioid misuse in Ohio. Am J Drug Alcohol Abuse. 2017 05; 43(3):299-305.
    View in: PubMed
    Score: 0.036
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.