Nonlinear mixed-effect models with nonignorably missing covariates

DOI10.2307/3315997zbMath1046.62120OpenAlexW1992676321MaRDI QIDQ4818485

Lang Wu

Publication date: 28 September 2004

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

Full work available at URL: https://doi.org/10.2307/3315997

zbMATH Keywords

EM algorithmlongitudinal dataAIDSmissing dataGibbs samplingrejection sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Monte Carlo methods (65C05)

Related Items (2)

An approximate method for nonlinear mixed-effects models with nonignorably missing covari\-a\-tes ⋮ A computationally efficient method for nonlinear mixed-effects models with nonignorable missing data in time-varying covariates

Cites Work

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