Marginal Regression for Binary Longitudinal Data in Adaptive Clinical Trials

DOI10.1111/J.1467-9469.2005.00417.XzbMath1090.62130OpenAlexW2102267569MaRDI QIDQ5467687

Wasimul Bari, Atanu Biswas, Brajendra Chandra Sutradhar

Publication date: 24 May 2006

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2005.00417.x

zbMATH Keywords

efficiencylogistic regressiondesign misspecification effectweighted generalized quasi-likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Design of statistical experiments (62K99) Generalized linear models (logistic models) (62J12) Sequential statistical design (62L05) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses ⋮ Longitudinal covariate-adjusted response-adaptive randomized designs ⋮ Analyzing longitudinal count data from adaptive clinical trials: a weighted generalized quasi-likelihood approach ⋮ Treatment design selection effects on parameter estimation in dynamic logistic models for longitudinal binary data

Cites Work

• Adaptive designs for normal responses with prognostic factors
• Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
• Analysing longitudinal count data with overdispersion

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