Hierarchical models for multicentre binary response studies
- 1 August 1990
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 9 (8) , 919-929
- https://doi.org/10.1002/sim.4780090808
Abstract
A three-stage hierarchical model is proposed for two treatment, binary response studies conducted in a number of centres. The approach adopted is Bayesian. Marginal densities for second stage parameters are shown to provide useful summaries both of comparative efficacy and of the heterogeneity of treatment effects across centres. Sensitivity studies of model assumptions are illustrated.This publication has 10 references indexed in Scilit:
- Bayesian Methods in Practice: Experiences in the Pharmaceutical IndustryJournal of the Royal Statistical Society Series C: Applied Statistics, 1986
- Bayesian Modelling and Sensitivity AnalysisJournal of the Royal Statistical Society: Series D (The Statistician), 1986
- A Mixed-Effects Model for Categorical DataBiometrics, 1985
- The implementation of the bayesian paradigmCommunications in Statistics - Theory and Methods, 1985
- Bayesian estimation of the dispersion matrix of a multivariate normal distributionCommunications in Statistics - Theory and Methods, 1985
- Alternative Approaches to Estimation of Population Pharmacokinetic Parameters: Comparison with the Nonlinear Mixed-Effect ModelDrug Metabolism Reviews, 1984
- Bayesian Approach for a Nonlinear Growth ModelBiometrics, 1982
- Applications of a Method for the Efficient Computation of Posterior DistributionsJournal of the Royal Statistical Society Series C: Applied Statistics, 1982