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This work provides descriptions, explanations and examples of the Bayesian approach to statistics, demonstrating the utility of Bayesian methods for analyzing real-world problems in the health sciences.
The work considers the individual components of Bayesian analysis.
College or university bookstores may order five or more copies at a special student price, available on request from Marcel Dekker, Inc.
Bayesian Biostatistics
Likelihood and Bayesian Inference
Modern Biostatistical Methods for Evidence-Based Global Health Research
Bayesian Methods in Epidemiology
Case Studies in Bayesian Statistical Modelling and Analysis
Bayesian Methods in Pharmaceutical Research
Current Trends in Bayesian Methodology with Applications
Bayesian Biostatistics and Diagnostic Medicine
Bayesian Inference and Computation in Reliability and Survival Analysis
Bayesian Thinking in Biostatistics
Introductory Biostatistics
Bayesian Methods for Data Analysis