This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 676
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #306692
Title: Maximum Likelihood Method for Linear Transformation Models with Generalized Case-Cohort Sampling
Author(s): Yuan Yao*+
Companies: Hong Kong University of Science and Technology
Address: , , , P.R.China
Keywords: maximum likelihood ; generalized case-cohort ; linear transformation models

Three widely used sampling designs, nested case-control, case-cohort and classical case-control designs, are categorized as generalized case-cohort designs. In this talk, maximum likelihood method is used to do the regression analysis of linear transtromation models with the generalized case-cohort sampling and the resulting estimator is proved to be consistent and asymptotically normal.

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