Treatment design selection effects on parameter estimation in dynamic logistic models for longitudinal binary data

DOI10.1080/00949650902922729zbMath1230.62094OpenAlexW2009096986MaRDI QIDQ3012679

Vandna Jowaheer, Brajendra Chandra Sutradhar

Publication date: 6 July 2011

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

Full work available at URL: https://doi.org/10.1080/00949650902922729

zbMATH Keywords

time-dependent covariatesconsistency and efficiencyregression effectsconditional and unconditional correlationsmultiple treatmentslagged dependencerepeated binary responsestime independent treatment covariates

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (1)

Many to one comparisons in a longitudinal binary data setup

Cites Work

• A nonlinear conditional probability model for generating correlated binary data
• Analyzing longitudinal count data from adaptive clinical trials: a weighted generalized quasi-likelihood approach
• A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
• Marginal Regression for Binary Longitudinal Data in Adaptive Clinical Trials

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