Bayesian Methods for Data Analysis

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A01=Bradley P. Carlin
A01=Thomas A. Louis
Author_Bradley P. Carlin
Author_Thomas A. Louis
Baseline HIV-1 RNA
Bayes Factor
Bayesian clinical trial methodology
Bayesian Methods
biostatistics applications
Bradley P. Carlin
BUGS Code
Category=PBT
CD4 Count
CD4 Measure
CD4 Response
CD4 Trajectory
data analysis
empirical Bayes
epidemiological statistics
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Full Conditional
Full Conditional Distributions
Gibbs Sampler
graduate level statistics
hierarchical modeling
HPD Interval
LVAD Group
Markov chain Monte Carlo
MCMC Algorithm
MCMC Method
medical data analysis
NA NA NA
NA NA NA NA
NA NA NA NA NA
Normal Scale Mixture
Parametric EB
Posterior Density
Posterior Distribution
R
Sel
Stack Loss Data
Weighted Bootstrap
WinBUGs
WinBUGS Code
WinBUGS modeling

Product details

  • ISBN 9781584886976
  • Weight: 980g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Jun 2008
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques.

New to the Third Edition

  • New data examples, corresponding R and WinBUGS code, and homework problems
  • Explicit descriptions and illustrations of hierarchical modeling—now commonplace in Bayesian data analysis
  • A new chapter on Bayesian design that emphasizes Bayesian clinical trials
  • A completely revised and expanded section on ranking and histogram estimation
  • A new case study on infectious disease modeling and the 1918 flu epidemic
  • A solutions manual for qualifying instructors that contains solutions, computer code, and associated output for every homework problem—available both electronically and in print
  • Ideal for Anyone Performing Statistical Analyses

    Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.

    Bradley P. Carlin, Thomas A. Louis

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