Power analysis for clustered non-continuous responses in multicenter trials

DOI10.1080/02664763.2015.1089218OpenAlexW2281265424WikidataQ60531707 ScholiaQ60531707MaRDI QIDQ5138053

No author found.

Publication date: 3 December 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2015.1089218

zbMATH Keywords

intraclass correlationmarginal modelsNLMIXEDGLIMMIX

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A semiparametric marginalized zero-inflated model for analyzing healthcare utilization panel data with missingness

Cites Work

• Unnamed Item
• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• Approximation Theorems of Mathematical Statistics
• Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
• On the use of a working correlation matrix in using generalised linear models for repeated measures
• Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time
• Modeling longitudinal binomial responses: implications from two dueling paradigms
• Modern Applied U‐Statistics

This page was built for publication: Power analysis for clustered non-continuous responses in multicenter trials