Bayesian Longitudinal Dose-response Models
Bayesian Longitudinal Dose-Response Model is a statistical framework that integrates Bayesian inference with longitudinal data structures to estimate time-varying dose-response relationships while formally quantifying uncertainty through prior distributions and iterative updating of posterior estimates.
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Publications
112
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14
Authors
10
Institutions
Publications per year
2017–2026
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A case study of model‐based Bayesian dose response estimation
Huaming Tan, David Gruben, Jonathan French et al. · Statistics in Medicine · 2011 · 25 citations
Bayesian discrimination with longitudinal data
Philip J. Brown · Biostatistics · 2001 · 22 citations · Full text
Joseph W. Hogan, Michael J. Daniels · Journal of the Royal Statistical Society Series C (Applied Statistics) · 2002 · 14 citations
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University of North Carolina at Chapel Hill, United States
1 publications · 15 citations
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1–5 of 14
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Brown University
Providence, United States
1 h-index
1 publications
14 citations
Iowa State University
Ames, United States
1 h-index
1 publications
14 citations
University of Reading
Reading, United Kingdom
1 h-index
2 publications
72 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
15 citations
Kaiser Permanente
Oakland, United States
1 h-index
1 publications
15 citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
15 citations

Johns Hopkins University
Baltimore, United States
1 h-index
2 publications
30 citations

Drexel University
Philadelphia, United States
1 h-index
1 publications
15 citations
1–8 of 10
1 publications · 14 citations
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1 publications · 25 citations
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1 publications · 15 citations
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1 publications · 22 citations
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DIA · 1 publications · 36 citations
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