Survival Analysis with Error-Prone Time-Varying Covariates: A Risk Set Calibration Approach
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Publication:3008856
DOI10.1111/j.1541-0420.2010.01423.xzbMath1216.62172OpenAlexW2062088153WikidataQ34082352 ScholiaQ34082352MaRDI QIDQ3008856
Xiaomei Liao, David M. Zucker, Donna Spiegelman, Yi Li
Publication date: 22 June 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://biostats.bepress.com/harvardbiostat/paper110
measurement errorCox proportional hazards modeltime-varying covariatesrisk set regression calibration
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- The Robust Inference for the Cox Proportional Hazards Model
- Covariate measurement errors and parameter estimation in a failure time regression model
- Generalized additive distributed lag models: quantifying mortality displacement
- Cox Regression with Accurate Covariates Unascertainable: A Nonparametric-Correction Approach
- Measurement Error in Nonlinear Models
- A Pseudo–Partial Likelihood Method for Semiparametric Survival Regression With Covariate Errors
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