Inference for the Proportional Hazards Model with Misclassified Discrete-Valued Covariates

DOI10.1111/j.0006-341X.2004.00176.xzbMath1110.62134WikidataQ80166423 ScholiaQ80166423MaRDI QIDQ3442960

Donna Spiegelman, David M. Zucker

Publication date: 25 May 2007

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

errors in variablesmisclassificationsurvival regressionKaplan-Meier curves

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

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Cites Work

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• Large sample behaviour of the product-limit estimator on the whole line
• A large sample study of the life table and product limit estimates under random censorship
• Experimental Design: Review and Comment
• Cost-Efficient Study Designs for Binary Response Data with Gaussian Covariate Measurement Error
• Covariate measurement errors and parameter estimation in a failure time regression model
• Matrix Analysis
• Estimation of the average hazard ratio
• Failure Time Regression With Continuous Covariates Measured With Error
• Auxiliary covariate data in failure time regression
• Asymptotic Properties of Non-Linear Least Squares Estimators
• Linear Statistical Inference and its Applications