Donald A. Berry, Dalene Stangl

Bayesian Biostatistics (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 704
• Erscheinungstermin: 3. Oktober 2018
• Englisch
• ISBN-13: 9781482273120
• Artikelnr.: 54673800

Autorenporträt

Berry, Donald A.; Stangl, Dalene

Inhaltsangabe

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