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Activity Number: 674
Type: Invited
Date/Time: Thursday, August 4, 2016 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract #318140
Title: Cox Model Asymptotic Distributional Theory of Weighted Estimation for Nested Case-Control Design
Author(s): Bin Nan* and Ross Prentics and Tianxi Cai
Companies: University of Michigan and Fred Hutchinson Cancer Research Center and Harvard
Keywords: Empirical process ; Inverse probability weighting ; Sampling with replacement ; Z-estimation theory

Existing literature shows the improved efficiency of the inverse probability weighted approach compared with the matched set conditional likelihood method for the nested case-control study via numerical examples, but the inverse probability weighted estimator lacks a rigorous asymptotic theory. We consider the design where time-matched controls are sampled with replacement and provide a proof of the asymptotic theory of the weighted estimator using modern empirical process theory.

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

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