Fitting bivariate multilevel models to assess long-term changes in body mass index and cigarette smoking

DOI10.1080/02664763.2010.529880OpenAlexW2079361996MaRDI QIDQ5124865

Folefac D. Atem, Stewart J. Anderson, Ravi K. Sharma

Publication date: 30 September 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2010.529880

zbMATH Keywords

random effectsbivariatemultilevel modelsobesitygrowth curve modelsbody mass indexoverweightjoint multivariate random effect models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Redefining standards for body mass index of the US population based on BRFSS data using mixtures

Uses Software

• MLwiN
• MIXED

Cites Work

• Unnamed Item
• A fast scoring algorithm for maximum likelihood estimation in unbalanced mixed models with nested random effects
• Random-Effects Models for Longitudinal Data
• Joint modelling of mixed outcome types using latent variables
• Statistical and Computational Aspects of Mixed Model Analysis
• The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
• Linear Statistical Inference and its Applications