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Failure time regression with continuous covariates measured with error

Halbo Zhou and C.‐Y. Wang

Journal of the Royal Statistical Society Series B, 2000, vol. 62, issue 4, 657-665

Abstract: We consider failure time regression analysis with an auxiliary variable in the presence of a validation sample. We extend the nonparametric inference procedure of Zhou and Pepe to handle a continuous auxiliary or proxy covariate. We estimate the induced relative risk function with a kernel smoother and allow the selection probability of the validation set to depend on the observed covariates. We present some asymptotic properties for the kernel estimator and provide some simulation results. The method proposed is illustrated with a data set from an on‐going epidemiologic study.

Date: 2000
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Citations: View citations in EconPapers (20)

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https://doi.org/10.1111/1467-9868.00255

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