Biased and unbiased estimation in longitudinal studies with informative visit processes

DOI10.1111/biom.12501zbMath1390.62293OpenAlexW2299747968WikidataQ37262974 ScholiaQ37262974MaRDI QIDQ5355258

Rebecca L. Olin, John M. Neuhaus, Charles E. McCulloch

Publication date: 7 September 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5026863

zbMATH Keywords

biasgeneralized linear mixed modelmissing not at randommixed effects modelmultiplicative link

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (4)

Mixed‐effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study ⋮ Robust estimation for longitudinal data under outcome‐dependent visit processes ⋮ Sequential imputation for models with latent variables assuming latent ignorability ⋮ Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records

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