
Bayesian Biostatistics
CRC Press
1st Edition
Published on 19. September 2019
Book
Paperback/Softback
704 pages
978-0-367-40139-9 (ISBN)
Description
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional Practice & Development
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 38 mm
Weight
1004 gr
ISBN-13
978-0-367-40139-9 (9780367401399)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Donald A. Berry | Dalene Stangl
Bayesian Biostatistics
E-Book
10/2018
1st Edition
CRC Press
€89.99
Available for download

Donald A. Berry | Dalene Stangl
Bayesian Biostatistics
E-Book
10/2018
CRC Press
€89.99
Available for download

Donald A. Berry | Dalene Stangl
Bayesian Biostatistics
Book
02/1996
1st Edition
CRC Press
€179.51
Shipment within 15-20 days
Persons
Berry, Donald A.; Stangl, Dalene
Content
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 of randomized trials using graphical models for assessing the effect of extreme cold weather on schizophrenic births; fitting and checking a two-level Poisson model - modelling patient mortality rates in heart transplant patients. Part 7 Other topics: analyzing rodent tumorigencitiy experiments using expert knowledge; assessing drug interactions - tamoxifen and cyclophosphamide; Bayesian subset analysis of a clinical trial for the treatment of HIV infections; Bayesian modelling of binary repeated measures data with application to crossover trials; a comparative study of perinatal mortality using a two-component mixture model; change-point analysis of a randomized trial on the effects of calcium supplementation on blood pressure; Bayesian predictive inference for a binary random variable - survey