The Simulation Extrapolation Method for Fitting Generalized Linear Models with Additive Measurement Error-Reference-Cited by-同舟云学术

The Simulation Extrapolation Method for Fitting Generalized Linear Models with Additive Measurement Error

Published:2003-12 Issue:4 Volume:3 Page:373-385
ISSN:1536-867X
Container-title:The Stata Journal: Promoting communications on statistics and Stata
language:en
Short-container-title:The Stata Journal

Author:

Hardin James W.¹,Schmiediche Henrik²,Carroll Raymond J.²

Affiliation:

1. Arnold School of Public Health University of South Carolina Columbia, SC 29208

2. Department of Statistics MS-3143 Texas A&M University College Station, TX 77843–3143

Abstract

We discuss and illustrate the method of simulation extrapolation for fitting models with additive measurement error. We present this discussion in terms of generalized linear models (GLMs) following the notation defined in Hardin and Carroll (2003). As in Hardin, Schmiediche, and Carroll (2003), our discussion includes specified measurement error and measurement error estimated by replicate error-prone proxies. In addition, we discuss and illustrate three extrapolant functions.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

Link

http://journals.sagepub.com/doi/pdf/10.1177/1536867X0400300407

Reference5 articles.

1. Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models

2. Simulation-Extrapolation Estimation in Parametric Measurement Error Models

3. Measurement Error, GLMs, and Notational Conventions

4. The Regression-calibration Method for Fitting Generalized Linear Models with Additive Measurement Error

5. Simulation-Extrapolation: The Measurement Error Jackknife

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