Analyze Repeated Measures experiences utilizing Bayesian Techniques

Going past normal non-Bayesian books, Bayesian tools for Repeated Measures offers the most principles for the research of repeated measures and linked designs from a Bayesian point of view. It describes many inferential tools for studying repeated measures in numerous medical parts, in particular biostatistics.

The writer takes a realistic method of the research of repeated measures. He bases the entire computing and research at the WinBUGS package deal, which supplies readers with a platform that successfully makes use of earlier details. The booklet contains the WinBUGS code had to enforce posterior research and provides the code for obtain on-line.

Accessible to either graduate scholars in statistics and consulting statisticians, the e-book introduces Bayesian regression suggestions, initial strategies and methods primary to the research of repeated measures, and an important subject for repeated measures experiences: linear versions. It provides an in-depth rationalization of estimating the suggest profile for repeated measures stories, discusses making a choice on and estimating the covariance constitution of the reaction, and expands the illustration of a repeated degree to normal combined linear types. the writer additionally explains the Bayesian research of express reaction info in a repeated measures research, Bayesian research for repeated measures whilst the suggest profile is nonlinear, and a Bayesian method of lacking values within the reaction variable.

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Extra resources for Bayesian Methods for Repeated Measures (Chapman & Hall/CRC Biostatistics Series)

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