Bayesian biostatistics
by Berry, Donald A. Stangl, Dalene K.
"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."--Provided by publisher.
Read More ↓Title Statements
- Full title :Bayesian biostatistics / [edited by] Donald A. Berry, Dalene K. Stangl.
Summary
"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."--Provided by publisher.
Read More ↓Edition Statements
- Publication Date:1996.
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:1996.
Notes
Includes index.
The Physical Object
- Description:1 online resource (xii, 675 pages) : : illustrations.
Edition Identifiers
- ISBN:9781315274300, 1315274302, 9781482273120, 1482273128
- DOI:10.1201/9781315274300
- oclc:ocn994449600
- LC Classification:R853.S7
- Dewey Decimal:610.72
Table of Contents
Part 1 General overview: Bayesian methods in health-related research; Bayesian approaches to randomized trials; Bayesian epidemiology. Part 2 Assessing probabilities: elicitation of prior distributions; priors for the design and analysis of clinical trials. Part 3 Decision problems: a Weibull model for survival data -- using prediction to decide when to stop a clinical trial; decision models in clinical recommendations development -- the stroke prevention policy model; dose-response analysis of toxic chemicals; expected utility as a policy making tool -- an environmental health example. Part 4 Design: Bayesian hypothesis testing -- interim analysis of a clinical trial evaluating phenytoin for the prophylaxis of early post-traumatic seizures in children; inference and design strategies for a hierarchical logistic regression model. Part 5 Model selection: model selection for generalized linear models via GLIB -- application to nutrition and breast cancer.
Part 6 Hierarchical models: Bayesian analysis of population pharmacokinetic and instantaneous pharmacodynamic relationships; Bayesian and frequentist analysis of an in vivo experiment in tumor hemodynamics; Bayesian meta-analysis …
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