Different methods for handling incomplete longitudinal binary outcome due to missing at random dropout
DOI10.1016/j.stamet.2014.10.002zbMath1486.62217OpenAlexW2008307084MaRDI QIDQ1731257
A. Satty, Geert Molenberghs, Henry G. Mwambi
Publication date: 13 March 2019
Published in: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.stamet.2014.10.002
generalized linear mixed model (GLMM)missing at random (MAR)multiple imputation GEEweighted GEEincomplete longitudinal binary outcome
Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)
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