SURVIVAL TIME REGRESSION INVOLVING COVARIATE MEASUREMENT ERROR
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概要
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A class of deconvoluted kernel estimators is proposed to estimate the conditional survival, conditional cumulative hazard and the regression functions when the covariate is subject to measurement error. Under appropriate conditions, it is shown that the proposed estimators are consistent, and that they converge weakly to Gaussian processes.
- Research Association of Statistical Sciencesの論文
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