|
Activity Number:
|
116
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, August 3, 2009 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistics in Epidemiology
|
| Abstract - #304393 |
|
Title:
|
Semiparametric Inference for a Two-Stage Outcome-Auxiliary Dependent Sampling Design with Continuous Outcomes
|
|
Author(s):
|
Yuanshan Wu*+ and Haibo Zhou
|
|
Companies:
|
The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
|
|
Address:
|
Department of Biostatistics, Chapel Hill, NC, 27599,
|
|
Keywords:
|
Outcome and Auxiliary-Dependent sampling ; Auxiliary Variable ; Kernel Smoothing ; Validation Sample
|
|
Abstract:
|
Two-stage design has long been recognized to be a cost-effective way for conducting biomedical studies. In this paper, we propose a two-stage design with continuous outcomes where the second stage data is sampled with an outcome and auxiliary dependent sample (OADS) scheme. We propose an estimator that is based on an estimated score function and show that the resulting estimator is consistent and asymptotically normal. Simulation study indicates that greater study efficiency gains can be achieved under the proposed OADS design when compared with other alternative sampling schemes. We illustrate the proposed method by analyzing a data set from an environmental epidemiologic study.
|
