Modeling longitudinal binomial responses: implications from two dueling paradigms

DOI10.1080/02664763.2010.550038OpenAlexW2023584326MaRDI QIDQ5124925

Xin Tu, Wan Tang, Hui Zhang, Yinhua Xia, Rui Chen, Douglas Gunzler

Publication date: 30 September 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2010.550038

zbMATH Keywords

likelihood ratio testscore testgeneralized estimating equationsHotelling's \(T^2\) statisticgeneralized linear mixed-effects model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Practical modeling strategies for unbalanced longitudinal data analysis ⋮ Power analysis for clustered non-continuous responses in multicenter trials ⋮ Power analysis for cluster randomized trials with binary outcomes modeled by generalized linear mixed-effects models ⋮ Comparison of different computational implementations on fitting generalized linear mixed-effects models for repeated count measures

Uses Software

• SAS/STAT

Cites Work

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• Inference for Kappas for Longitudinal Study Data: Applications to Sexual Health Research
• Marginal Mark Regression Analysis of Recurrent Marked Point Process Data
• Inference and missing data
• The nonlinear mixed effects model with a smooth random effects density
• Population-averaged and subjectspecific approaches for clustered categorical data
• Mixed Models
• Modern Applied U‐Statistics
• Understanding Relationships Using Copulas
• Longitudinal Data Analysis

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