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Activity Number: 28
Type: Contributed
Date/Time: Sunday, August 9, 2015 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract #315837
Title: Survival Time Estimates Deduced from Integral Equations
Author(s): Gerhard Dikta*
Companies: Fachhochschule Aachen
Keywords: Survival Analysis ; Censored data ; Semi-parametric ; Random censorship ; Estimation ; Asymptotic efficiency
Abstract:

Based on an identifying Volterra-type integral equation for randomly right censored observations from a lifetime distribution function $F$, we solve the corresponding estimating equation by an explicit and implicit Euler scheme. Besides the well know Kaplan-Meier and other established estimators of $F$, we derive new pre-smoothed and semi-parametric estimators of $F$ with this approach. Some of their properties are discussed and their performance is illustrated in a small simulation study.

Authors who are presenting talks have a * after their name.

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