Maximum likelihood estimation for linear regression models with right censored outcomes and missing predictors.

DOI10.1016/S0167-9473(98)00074-7zbMath1043.62522OpenAlexW1980604426WikidataQ126628525 ScholiaQ126628525MaRDI QIDQ1285510

Nathaniel Schenker, XiangYi Meng

Publication date: 28 April 1999

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

Full work available at URL: https://doi.org/10.1016/s0167-9473(98)00074-7

zbMATH Keywords

EM algorithmAIDSSurvival analysisFailure timeGeneral location model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (4)

Survival analysis with long-term survivors and partially observed covariates ⋮ Estimation in a general semiparametric hazards regression model with missing covariates ⋮ Fitting the log‐F Accelerated Failure Time Model with Incomplete Covariate Data ⋮ Subsample ignorable likelihood for accelerated failure time models with missing predictors

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• Auxiliary covariate data in failure time regression
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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