Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model

DOI10.1016/J.CSDA.2008.06.010zbMath1301.62111OpenAlexW2033200554WikidataQ37183358 ScholiaQ37183358MaRDI QIDQ961156

Andrew C. Leon, Moonseong Heo

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2678722

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Editorial: Computational statistics within clinical research

Cites Work

• Random-Effects Models for Longitudinal Data
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Unnamed Item

This page was built for publication: Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model