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, such as rates and proportions, regression models, clinical trial design, and methods for evaluating diagnostic tests. Key Features: Applies a Bayesian perspective to applications in biomedical science. Reviews Bayesian statistics and methods for Bayesian analysis. Highlights advances in clinical trial design. Provides methods for evaluating diagnostic tests. The intended audience includes graduate students in biostatistics, epidemiology, and biomedical researchers.