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Activity Number: 340
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #307051
Title: Conditional Score Methods for Regression Models with Poisson Surrogates
Author(s): Alvin Van Orden*+ and Leonard A. Stefanski
Companies: North Carolina State University and North Carolina State University
Address: 208 N. Dixon Ave., Cary, NC, 27513,
Keywords: measurement error ; Poisson surrogate ; conditional score
Abstract:

We study estimation in linear models in which one covariate is unobservable and an observable surrogate for the latent variable has a Poisson distribution. Our model is similar to that of Li, Palta, and Shao (2004) who used the method of corrected score functions to derive consistent estimators. Our model is amenable to the conditional score method of Stefanski and Carroll (1987). We develop the associated estimators and study their properties analytically and via simulation.

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