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Estimating the reliability of an exposure variable in the presence of confounders
M Y Kim1, B S Pasternack, R J Carroll
1Epidemiology and Biostatistics Program, New York University Medical Center, New York 10010, USA.
Statistics in Medicine
|July 15, 1995
Abstract:
In this paper we discuss estimation of the reliability of an exposure variable in the presence of confounders measured without error. We give an explicit formula that shows how the exposure becomes less reliable as the degree of correlation between the exposure and confounders increases. We also discuss biases in the corresponding logistic regression estimates and methods for correction. Data from a matched case-control study of hormone levels and risk of breast cancer are used to illustrate the methods.