Process / pipelineClinical / epidemiology

Bayesian Dose-Response Analysis

Bayesian dose-response analysis models the relationship between the level of exposure (dose) to a substance and the magnitude or probability of a biological response, embedding that model in a Bayesian probabilistic framework. Unlike frequentist approaches that yield a single point estimate with confidence intervals, the Bayesian framework produces a full posterior distribution over model parameters, allowing explicit quantification of uncertainty, incorporation of prior scientific knowledge, and principled model averaging. It is widely applied in toxicology, pharmacology, environmental risk assessment, and clinical dose-finding studies.

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Sources

  1. Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955
  2. Piegorsch, W. W., & Bailer, A. J. (2005). Analyzing Environmental Data. Wiley. link

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Referenced by

ScholarGateBayesian Dose-Response Analysis (Bayesian Dose-Response Analysis). Retrieved 2026-06-04 from https://scholargate.app/tr/epidemiology/bayesian-dose-response-analysis