期刊
INTERNATIONAL JOURNAL OF BIOSTATISTICS
卷 8, 期 1, 页码 -出版社
WALTER DE GRUYTER & CO
DOI: 10.1515/1557-4679.1312
关键词
delayed entry; inverse probability weighting
The Kaplan-Meier and closely related Lynden-Bell estimators are used to provide nonparametric estimation of the distribution of a left-truncated random variable. These estimators assume that the left-truncation variable is independent of the time-to-event. This paper proposes a semiparametric method for estimating the marginal distribution of the time-to-event that does not require independence. It models the conditional distribution of the time-to-event given the truncation variable using Cox's model for left truncated data, and uses inverse probability weighting. We report the results of simulations and illustrate the method using a survival study.
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