Adjusted regression estimation for time-to-event data with differential measurement error

Menggang Yu

Biometrika, 2013, vol. 100, issue 3, 757-763

Abstract: Differential measurement error data plausibly arise in epidemiology and biomedical studies but have been rarely dealt with explicitly, especially for time-to-event data. We propose an estimation equation correction method in semiparametric censored linear regression to deal with differential measurement error for time-to-event data with validation samples. The method does not require explicit modelling of the error-prone covariates and leads to unbiased estimation. Copyright 2013, Oxford University Press.

Date: 2013
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