JSM 2004 - Toronto

Abstract #301403

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Activity Number: 343
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #301403
Title: A Kaplan-Meier Generalization in the Presence of Correlated Left Truncation Times
Author(s): Todd MacKenzie*+
Companies: Dartmouth Medical School
Address: Section of Clinical Research, HB7505, Lebanon, NH, 03756,
Keywords: time-to-event ; cumulative hazard ; prevalent cohort ; right-censoring ; estimating equations ; copula
Abstract:

The Kaplan-Meier estimator can be used to estimate survival for left-truncated right-censored survival times, under the assumption of independence of the survival times and left truncation times. This paper presents semiparametric estimating equations for estimating survival when the left truncation time is correlated with survival. The approach uses a copula to describe the dependence structure between the survival time and the left truncation time. These estimating equations yield the Kaplan-Meier estimator if the independence copula is used.


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