Bayesian Biostatistics (Statistics: A Series of Textbooks and Monographs)

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. Zentrallblatt für Mathematik and Ihre Grezgebiete - Zentralblatt fur Mathematik This comprehensive book 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. Cover -- Half Title -- Title Page -- Copyright Page -- Preface -- Contents -- Contributors -- I: General Overview -- 1. Bayesian Methods in Health-Related Research -- 2. Bayesian Approaches to Randomized Trials -- 3. Bayesian Epidemiology -- II: Assessing Probabilities -- 4. Elicitation of Prior Distributions -- 5. Priors for the Design and Analysis of Clinical Trials -- Ill: Decision Problems -- 6. A Weibull Model for Survival Data: Using Prediction toDecide When to Stop a Clinical Trial -- 7. Decision Models in Clinical Recommendations -- 8. Dose-Response Analysis of Toxic Chemicals -- 9. Expected Utility as a Policy-Making Tool: AnEnvironmental Health Example -- IV: Design -- 10. Bayesian Hypothesis Testing: Interim Analysis of aClinical Trial Evaluating Phenytoin for the Prophylaxis ofEarly Post-Traumatic Seizures in Children -- 11. Inference and Design Strategies for a Hierarchical LogisticRegression Model -- V: Model Selection -- 12. Model Selection for Generalized Linear Models via GLIB:Application to Nutrition and Breast Cancer -- VI: Hierarchical Models -- 13. Bayesian Analysis of Population Pharmacokinetic andInstantanteous Pharmacodynamic Relationships -- 14. Bayesian and Frequentist Analyses of an In VivoExperiment in Tumor Hemodynamics -- 15. Bayesian Meta-Analysis of Randomized Trials UsingGraphical Models and BUGS -- 16. Hierarchical Analysis of Continuous-Time Survival Models -- 17. Hierarchical Bayesian Linear Models for Assessing theEffect of Extreme Cold Weather on Schizophrenic Births -- 18. Fitting and Checking a Two-Level Poisson Model:Modeling Patient Mortality Rates in Heart TransplantPatients -- VII: Other Topics -- 19. Analyzing Rodent Tumorigenicity Experiments UsingExpert Knowledge -- 20. Assessing Drug Interactions: Tamoxifen andCyclophosphamide

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.

Zentrallblatt fÃ1⁄4r Mathematik and Ihre Grezgebiete - Zentralblatt fur Mathematik

This comprehensive book 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.

This comprehensive reference/text 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. Containing authoritative contributions from over 40 internationally acclaimed experts in their respective fields, Bayesian Biostatistics elucidates Bayesian methodology...covers state-of-the-art techniques...considers the individual components of Bayesian analysis...stresses the importance of pictorial presentations backed by appropriate mathematical analysis...describes computer software vital for Bayesian analysis and tells how to access the software...and more. 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. 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 Containing authoritative contributions from over 40 internationally acclaimed experts in their respective fields, Bayesian Biostatistics elucidates Bayesian methodology ... covers state-of-the-art techniques ... considers the individual components of Bayesian analysis ... stresses the importance of pictorial presentations backed by appropriate mathematical analysis ... describes computer software vital for Bayesian analysis and tells how to access the software ... and more