Estimating and testing interactions in linear regression models when explanatory variables are subject to classical measurement error

• Published in: Statistics in medicine Vol. 26; no. 23; pp. 4293 - 4310
• Main Authors: Murad, Havi, Freedman, Laurence S.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 15.10.2007; Wiley Subscription Services, Inc
• Subjects: Bias; Calibration; Cardiovascular disease; Errors; errors in variables; Generalized method of moments; interaction; Israel; Linear Models; measurement error; Medical statistics; method of moments; Models, Statistical; Regression analysis; regression calibration; Reproducibility of Results; structural equation models; Variables

Estimating and testing interactions in a linear regression model when normally distributed explanatory variables are subject to classical measurement error is complex, since the interaction term is a product of two variables and involves errors of more complex structure. Our aim is to develop simple...