Analysis of Survival Data with Missing Measurements of a Time-Dependent Binary Covariate

DOI10.1081/BIP-120019270zbMath1180.62141WikidataQ30790798 ScholiaQ30790798MaRDI QIDQ4803381

Susan Halabi, Chuan-Chuan Wun, Barry R. Davis

Publication date: 2 April 2003

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

Mathematics Subject Classification ID

Censored data models (62N01) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Cites Work

• Using the EM-algorithm for survival data with incomplete categorical covariates
• Covariate measurement errors and parameter estimation in a failure time regression model
• Partial likelihood
• Analysis of Censored Survival Data with Intermittently Observed Time-Dependent Binary Covariates
• A Joint Model for Survival and Longitudinal Data Measured with Error
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
• Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time

This page was built for publication: Analysis of Survival Data with Missing Measurements of a Time-Dependent Binary Covariate