Measurement error, GLMs, and notational conventions
James W. Hardin and
Raymond J. Carroll Additional contact information James W. Hardin: Arnold School of Public Health, University of South Carolina
Raymond J. Carroll: Department of Statistics, Texas A&M University
Abstract:
This paper introduces additive measurement error in a generalized linear-model context. We discuss the types of measurement error along with their effects on fitted models. In addition, we present the notational conventions to be used in this and the accompanying papers. Copyright 2003 by StataCorp LP.