Contents

• Rats: Normal hierarchical models with missing data
• Pump: conjugate gamma-Poisson hierarchical model
• Seeds: random effects logistic regression
  • Constraining random effects to sum to zero
  • An alternative parameterisation for the precision of the random effects - the unobserved covariate model
  • A uniform prior for the standard deviation of the random effects
• Surgical: institutional ranking
  • Fixed effects model
  • Random effects model
  • Ranking each hospital
• Salm: extra-Poisson variation in dose-response study
• Equiv: bioequivalence and missing data in a cross-over trial
• Stacks: robust and ridge regression
• Epil: repeated measures on Poisson counts
• Blocker: random effects meta-analysis of clinical trials
  • A t-distribution as a population prior
  • A hierarchical t-distribution with unknown degrees of freedom
• Oxford: smooth fits to log-odds ratios in case-control studies
• LSAT: latent variable models for item-response data
  • Rasch model
  • 2-parameter probit model
• Bones: latent trait model for multiple ordered categorical responses
• Inhaler: random effects model for ordinal responses from a cross-over trial
• Litters: beta-binomial for clustered response data
• Mice: Weibull regression in censored survival analysis
• Kidney: Weibull regression with random effects
• Leuk: survival analysis using Cox regression
  • Cox regression with frailties
• References
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