A Likelihood Approach to Analysing Longitudinal Bivariate Binary Data

DOI10.1002/bimj.4710390403zbMath0896.62116OpenAlexW1992779201MaRDI QIDQ4360096

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Publication date: 11 October 1998

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.4710390403

zbMATH Keywords

concordanceEM algorithmserial dependencelog odds ratiodrug usecorrelated bivariate binary datamethadone treatmentmixture model with latent groups

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Binary geometric process model for the modeling of longitudinal binary data with trend ⋮ Nonignorable dropout models for longitudinal binary data with random effects: an application of Monte Carlo approximation through the Gibbs output ⋮ Bayesian approach to analysing longitudinal bivariate binary data with informative dropout ⋮ Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches

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