Joint partially linear model for longitudinal data with informative drop‐outs

DOI10.1111/BIOM.12566zbMath1366.62223OpenAlexW2492409779WikidataQ31118917 ScholiaQ31118917MaRDI QIDQ5347404

Sehee Kim, Donglin Zeng

Publication date: 23 May 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5525063

zbMATH Keywords

longitudinal datarandom effectsAkaike information criterionBayesian information criterionnonparametric regressionnonparametric maximum likelihoodpartially linear modeljoint modelstransformation modelssieve maximum likelihoodsemiparametric transformationinformative drop-outs

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis ⋮ Stable non-linear generalized Bayesian joint models for survival-longitudinal data ⋮ Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements

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