An Introduction to Bayesian Biostatistics
Chapman and Hall/CRC – 2016 – 400 pages
With discussions on many recent developments in Bayesian methodologies, An Introduction to Bayesian Biostatistics considers statistical issues in biomedical research, allowing for greater collaborations between biostatisticians and biomedical researchers. The text presents biostatistical methods from a Bayesian perspective. It includes an overview of Bayesian statistics, a discussion of rates and proportions with applications in clinical and other population-based studies, recent developments in clinical trial design, methods for evaluating censored data and diagnostic tests, and problems resulting from multiple comparisons.
Introduction to Bayesian Statistics. Computational Methods for Bayesian Analysis. Inference for Rates, Proportions, and Ordinal Measures. Survival Analysis and Censored Data. Clinical Trial Designs. Longitudinal Data Models and Meta-Analyses. Diagnostic Tests. Introduction to Spatial Model. Multiplicities.
Valen E. Johnson and Gary L. Rosner work in the Department of Biostatistics at the M.D. Anderson Cancer Center in Texas.