Literature DB >> 2218194

Hierarchical models for multicentre binary response studies.

A M Skene1, J C Wakefield.   

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.

Mesh:

Substances:

Year:  1990        PMID: 2218194     DOI: 10.1002/sim.4780090808

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  11 in total

1.  Ecological Inference in the Social Sciences.

Authors:  Adam Glynn; Jon Wakefield
Journal:  Stat Methodol       Date:  2010-05-01

2.  Bayesian inference for generalized linear mixed models.

Authors:  Youyi Fong; Håvard Rue; Jon Wakefield
Journal:  Biostatistics       Date:  2009-12-04       Impact factor: 5.899

3.  Assessing placebo response using Bayesian hierarchical survival models.

Authors:  D K Stangl; J B Greenhouse
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

4.  Gibbs Samplers for Logistic Item Response Models via the Pólya-Gamma Distribution: A Computationally Efficient Data-Augmentation Strategy.

Authors:  Zhehan Jiang; Jonathan Templin
Journal:  Psychometrika       Date:  2018-10-31       Impact factor: 2.500

5.  MULTI-CENTER CLINICAL TRIALS: RANDOMIZATION AND ANCILLARY STATISTICS.

Authors:  L U Zheng; Marvin Zelen
Journal:  Ann Appl Stat       Date:  2008-07-03       Impact factor: 2.083

6.  Bayesian hierarchical modeling of patient subpopulations: efficient designs of Phase II oncology clinical trials.

Authors:  Scott M Berry; Kristine R Broglio; Susan Groshen; Donald A Berry
Journal:  Clin Trials       Date:  2013-08-27       Impact factor: 2.486

7.  Cost-effectiveness analysis using data from multinational trials: the use of bivariate hierarchical modeling.

Authors:  Andrea Manca; Paul C Lambert; Mark Sculpher; Nigel Rice
Journal:  Med Decis Making       Date:  2007-07-19       Impact factor: 2.583

8.  A re-evaluation of random-effects meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson; David J Spiegelhalter
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2009-01       Impact factor: 2.483

9.  Protocol of the "As du Coeur" study: a randomized controlled trial on physical activity maintenance in cardiovascular patients.

Authors:  Marion Fournier; Rémi Radel; Karim Tifratene; Christian Pradier; Alain Fuch; Philippe Mossé; Jean-Jacques Domerego; Jocelyn Gal; Fabienne d'Arripe-Longueville
Journal:  BMC Cardiovasc Disord       Date:  2016-08-22       Impact factor: 2.298

10.  Analyses of drug combinations using missing data shortens trial periods in phase I/II oncology trials.

Authors:  Shinjo Yada; Chikuma Hamada
Journal:  Contemp Clin Trials Commun       Date:  2017-06-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.