Abstract #300541

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JSM 2002 Abstract #300541
Activity Number: 46
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
Sponsor: General Methodology
Abstract - #300541
Title: On Selecting the Strongest Linear Relationship Between A Response Variable And an Explanatory Variable In Measurement Error Models
Author(s): Xun Lin*+
Affiliation(s): Pfizer Global R&D
Address: 11085 Torreyana Road , San Diego, California, 92121, U. S. A.
Keywords: selection procedure ; measurement error model ; large sample performance
Abstract:

Measurement errors are the differences between the actual desired values and the observed values. In the real world, it is usually very difficult to obtain exactly the true values. Instead, one may only get the observed values that are related to the true values through the measurement errors.

In this paper we investigate the problem of selecting the treatment that has the strongest relationship between the response variable and an explanatory variable in an additive linear measurement error model. A selection procedure based on moment estimates has been developed, and the large sample performance of the derived selection rule has also been analyzed. At the end of this paper, a simulation study is carried out to illustrate the large sample performance of the selection procedure.

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Revised March 2002