Название: Bayesian Thinking in BiostatisticsАвтор: Purushottam W. Laud, Wesley O. Johnson, Gary L Rosner
Издательство: CRC Press
Год: 2021
Страниц: 622
Язык: английский
Формат: pdf (true)
Размер: 14.6 MB
With a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies, Bayesian Thinking in Biostatistics considers statistical issues in biomedical research. The book emphasizes greater collaboration between biostatisticians and biomedical researchers. The text includes an overview of Bayesian statistics, a discussion of many of the methods biostatisticians frequently use, such as rates and proportions, regression models, clinical trial design, and methods for evaluating diagnostic tests. Another factor that has contributed to broader use of Bayesian methods in biostatistics is the availability of computer programs to carry out the necessary computations. The stand-alone packages WinBUGS (and its current incarnation OpenBUGS), JAGS, and Stan, as well as packages and functions written for the statistical computing environment R, have put the ability to carry out rather sophisticated and complex data analyses in the hands of more people than ever before. The availability of these tools provides the opportunity to promote the use of Bayesian biostatistical methods to a wider audience. In the book and an accompanying website, we provide programs in the BUGS language, with variants for JAGS and Stan, that one can use or adapt for one's own research.
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