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Measurement error, GLMs, and notational conventions

Author

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  • 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.

Suggested Citation

  • James W. Hardin & Raymond J. Carroll, 2003. "Measurement error, GLMs, and notational conventions," Stata Journal, StataCorp LP, vol. 3(4), pages 329-341, December.
    • Handle: RePEc:tsj:stataj:v:3:y:2003:i:4:p:329-341
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    References listed on IDEAS

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    1. James W. Hardin, 2002. "The robust variance estimator for two-stage models," Stata Journal, StataCorp LP, vol. 2(3), pages 253-266, August.
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    Cited by:

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    2. Yuanzhang Li, 2018. "Bias Correction of Nonlinear Effect for Longitudinal Data," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 8(3), pages 56-60, October.

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