On binary longitudinal mixed models in adaptive clinical trials

DOI10.1080/00949650412331299102zbMath1074.62067OpenAlexW2019370408MaRDI QIDQ5704633

Wasimul Bari, Brajendra Chandra Sutradhar

Publication date: 15 November 2005

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650412331299102

zbMATH Keywords

consistencyefficiencyadaptive designweighted generalized estimating equationrandom effects of individualsrepeated binary responses of individualsweighted generalized quasi-likelihood approach

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Spatio-temporal modelling of disease mapping of rates

Uses Software

• Fahrmeir

Cites Work

• Longitudinal data analysis using generalized linear models
• Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
• An adaptive randomized design with application to estimation
• Analysing ordinal longitudinal survey data: Generalised estimating equations approach
• Adaptive designs for normal responses with prognostic factors
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• A regression model for time series of counts
• The Randomized Play-the-Winner Rule in Medical Trials
• Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
• Analysing exponential family based messy data
• Analysing longitudinal count data with overdispersion
• Mixed Effects Models with Bivariate and Univariate Association Parameters for Longitudinal Bivariate Binary Response Data
• Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
• Analyzing multivariate longitudinal binary data: A generalized estimating equations approach
• On the efficiency of extended generalized estimating equation approaches

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