Marginal regression models with a time to event outcome and discrete multiple source predictors

DOI10.1007/s10985-006-9013-1zbMath1356.62213OpenAlexW2167916792WikidataQ35749873 ScholiaQ35749873MaRDI QIDQ5963026

Heather J. Litman, Nan M. Laird, Nicholas J. Horton, Jane M. Murphy

Publication date: 25 February 2016

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc1851698

zbMATH Keywords

maximum likelihoodgeneralized estimating equationscensored survival datainverse probability weightsmultiple informants

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)

Uses Software

• R
• SAS/STAT
• bootstrap

Cites Work

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• Life Tables with Concomitant Information
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Generalized Estimating Equation Model for Binary Outcomes with Missing Covariates
• Estimation with correlated censored survival data with missing covariates
• Semiparametric Efficiency in Multivariate Regression Models with Missing Data
• A mean score method for missing and auxiliary covariate data in regression models

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