Semiparametric estimation for cure survival model with left-truncated and right-censored data and covariate measurement error

Li-Pang Chen

Statistics & Probability Letters, 2019, vol. 154, issue C, -

Abstract: In this paper, we mainly discuss the cure model with survival data. Different from the usual survival data with right-censoring, we incorporate the features of left-truncation and measurement error in covariates. Generally speaking, left-truncation causes a biased sample in survival analysis; measurement error in covariates may incur a tremendous bias if we do not deal with it properly. To deal with these challenges, we propose a flexible way to analyze left-truncated survival data and correct measurement error in covariates. The theoretical results are also established in this paper.

Keywords: Cure; Left-truncation; Measurement error; Prevalent cohort; Survival analysis; Transformation model (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.spl.2019.06.023

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