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MOTIVATION AND BACKGROUND MATERIAL
LOG ODDS RATIO REGRESSION FOR A SEQUENCE
THE EFFECT OF COVARIATE MEASUREMENT ERROR
7 other sections not shown
25 NAIVE 2x2 tables 50 NAIVE Assumption asymptotic analysis asymptotic bias asymptotic expansion asymptotic normality asymptotic variance bias corrected BIAS SD MSE case-control studies Chapter CMLE completes the proof concave functions conditions of Lemma confounding consistency convergence CORR corrected estimators covariate vector defined deviation and mean disease Dominated Convergence Theorem effect modifier endometrial cancer ESTIMATOR BIAS SD fixed FN(tN follows full rank FUNCT functional estimator hence i=l i=l implies ith stratum Lemma likelihood function log odds ratio logistic model logit Pij matching matrix mean squared error measurement error MSE BIAS SD MSE for Model naive estimator need show notation number of strata odds ratio regression Op(l positive definite prove random variables ratio regression model Sample Size SS SD and MSE SD MSE BIAS sequence simulation study sparse strata Stefanski 1985 Stefanski and Carroll subsection Theorem TRANS variance VN(tN yields