Process / pipelineClinical / epidemiology

Bayesian Case Series — Bayesian Case Series Analysis

Bayesian case series is an observational epidemiological method that applies Bayesian inference to case series data — typically records of patients who experienced both a drug or vaccine exposure and an adverse health event. By incorporating prior evidence and computing posterior estimates of the incidence rate ratio within pre-specified risk windows, the method quantifies the strength of a temporal association between an exposure and an outcome while controlling for fixed individual-level confounding.

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Sources

  1. Strom, B. L. (Ed.). (2001). Pharmacoepidemiology (3rd ed.). Wiley. [Chapter on case series and signal detection] link
  2. Whitaker, H. J., Farrington, C. P., Spiessens, B., & Musonda, P. (2006). Tutorial in biostatistics: The self-controlled case series method. Statistics in Medicine, 25(10), 1768–1797. DOI: 10.1002/sim.2302

Related methods

ScholarGateBayesian Case Series (Bayesian Case Series Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/bayesian-case-series