Fitting the log‐F Accelerated Failure Time Model with Incomplete Covariate Data

DOI10.1111/j.0006-341X.1999.00826.xzbMath1059.62631WikidataQ31906968 ScholiaQ31906968MaRDI QIDQ4666654

Meehyung Cho, Nathaniel Schenker

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

survival analysismissing dataGibbs samplingBayesian methodsmelanomageneral location modelnonignorable censoring

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)

Related Items (2)

Survival analysis with long-term survivors and partially observed covariates ⋮ Subsample ignorable likelihood for accelerated failure time models with missing predictors

Uses Software

• CODA

Cites Work

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• Inference and missing data
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• Auxiliary covariate data in failure time regression
• Multivariate Two Sample Tests with Dichotomous and Continuous Variables. I. The Location Model
• Monte Carlo sampling methods using Markov chains and their applications
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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