Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures

DOI10.1080/02664763.2021.1982877OpenAlexW4200624653MaRDI QIDQ5058232

Chun-Chao Wang, Yi-Ting Hwang, Hui-Ling Lee, Chung-Chuan Chou

Publication date: 19 December 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1982877

zbMATH Keywords

EM algorithmlogistic regressionmisspecificationrandom effect modelatrial fibrillationjoint likelihood function

Mathematics Subject Classification ID

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

Uses Software

• fminsearch

Cites Work

• Unnamed Item
• Misclassification of the dependent variable in a discrete-response setting
• Correcting bias due to misclassification in the estimation of logistic regression models
• Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients
• Inference using surrogate outcome data and a validation sample
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
• A Semiparametric Correction for Attenuation
• Modeling Repeated Measures With Monotonic Ordinal Responses and Misclassification, With Applications to Studying Maturation
• Misclassification in 2 X 2 Tables

This page was built for publication: Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures