Using bootstrap method to evaluate the estimates of nicotine equivalents from linear mixed model and generalized estimating equation

DOI10.1080/02664760802638074zbMath1473.62366OpenAlexW2143194372MaRDI QIDQ3183910

Hans Roethig, Kim Frost-Pineda, Qiwei Liang, Huajiang Li, Paul Mendes

Publication date: 21 October 2009

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

Full work available at URL: https://doi.org/10.1080/02664760802638074

zbMATH Keywords

linear mixed modelsbootstrap estimatesgeneralized estimation equationsnicotine equivalents

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Uses Software

• SAS
• SAS/STAT

Cites Work

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• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• An alternative approach to the analysis of longitudinal data via generalized estimating equations
• The estimating function bootstrap
• Mixed Models
• Bootstrap Methods
• Linear mixed models for longitudinal data

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