The effect of miss-specified baseline characteristics on inference for longitudinal trends in linear mixed models

DOI10.1093/BIOSTATISTICS/KXM004zbMath1267.62081OpenAlexW2162257341WikidataQ45093686 ScholiaQ45093686MaRDI QIDQ2838994

Steffen Fieuws, Geert Verbeke

Publication date: 4 July 2013

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxm004

zbMATH Keywords

longitudinal datagrowth curve model

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items (4)

A Conditional Approach for Regression Analysis of Longitudinal Data with Informative Observation Time and Non-negligible Observation Duration ⋮ A Comparison of Procedures to Correct for Base-Line Differences in the Analysis of Continuous Longitudinal Data: A Case-Study ⋮ Piecewise transition models with random effects for unequally spaced longitudinal measurements ⋮ Fixed-effect variable selection in linear mixed models using \(R^2\) statistics

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