Analyzing longitudinal count data from adaptive clinical trials: a weighted generalized quasi-likelihood approach

DOI10.1080/10629360600569196zbMath1144.62359OpenAlexW2092636900MaRDI QIDQ3526398

Vandna Jowaheer, Brajendra Chandra Sutradhar

Publication date: 25 September 2008

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

Full work available at URL: https://doi.org/10.1080/10629360600569196

zbMATH Keywords

consistencyefficiencyadaptive randomizationdesign weightslongitudinal count responses

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Sequential statistical design (62L05)

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 ⋮ Improved mixed model for longitudinal data analysis using shrinkage method ⋮ Treatment design selection effects on parameter estimation in dynamic logistic models for longitudinal binary data

Cites Work

• Longitudinal data analysis using generalized linear models
• Properties of biased coin designs in sequential clinical trials
• Ethics and statistics in randomized clinical trials. With comments and a rejoinder by the author
• Design and Analysis of Phase I Clinical Trials
• Non-Parametric Up-and-down Experimentation
• Some ARMA models for dependent sequences of poisson counts
• The Randomized Play-the-Winner Rule in Medical Trials
• GROUP SEQUENTIAL TESTS WITH OUTCOME-DEPENDENT TREATMENT ASSIGNMENT
• Analysing longitudinal count data with overdispersion
• Marginal Regression for Binary Longitudinal Data in Adaptive Clinical Trials

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