The simulation extrapolation method for fitting generalized linear models with additive measurement error
James W. Hardin
Arnold School of Public Health
University of South Carolina
Columbia, SC 29208
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Henrik Schmiediche
Department of Statistics MS-3143
Texas A&M University
College Station, TX 77843-3143
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Raymond J. Carroll
Department of Statistics MS-3143
Texas A&M University
College Station, TX 77843-3143
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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.
View all articles by these authors:
James W. Hardin, Henrik Schmiediche, Raymond J. Carroll
View all articles with these keywords:
simulation extrapolation, measurement error, instrumental variables, replicate measures, generalized linear models
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