Innovative Bayesian Methods for Biostatistics and Epidemiology

Paul Gustafson, Shahadut Hossain, Lawrence McCandless

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)


Complex data and models now pervade biostatistics and epidemiology. Increasingly, Bayesian methods are seen as desirable tools to tame this complexity and make principled inferences from the data at hand. In this chapter we try to convey the flavor of what Bayesian methods have to offer, by describing a number of applications of Bayesian methods to health research. We emphasize the strengths of these approaches, and points of departure from non-Bayesian techniques.

Original languageEnglish
Title of host publicationBayesian Thinking Modeling and Computation
EditorsD.K. Dey, C.R. Rao
Number of pages30
Publication statusPublished - 2005
Externally publishedYes

Publication series

NameHandbook of Statistics
ISSN (Print)0169-7161

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Applied Mathematics


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