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Covariate Measurement Error Adjustment for Matched CaseâControl Studies
- McShane, Lisa M., Midthune, Douglas N., Dorgan, Joanne F., Freedman, Laurence S., Carroll, Raymond J.
- Biometrics 2001 v.57 no.1 pp. 62-73
- biometry, blood serum, case-control studies, equations, odds ratio, prostatic neoplasms
- We propose a conditional scores procedure for obtaining biasâcorrected estimates of log odds ratios from matched caseâcontrol data in which one or more covariates are subject to measurement error. The approach involves conditioning on sufficient statistics for the unobservable true covariates that are treated as fixed unknown parameters. For the case of Gaussian nondifferential measurement error, we derive a set of unbiased score equations that can then be solved to estimate the log odds ratio parameters of interest. The procedure successfully removes the bias in naive estimates, and standard error estimates are obtained by resampling methods. We present an example of the procedure applied to data from a matched caseâcontrol study of prostate cancer and serum hormone levels, and we compare its performance to that of regression calibration procedures.