Asymptotic Properties of Log Odds Ratio Regression Estimators with Sparse Strata and Covariate Measurement Error |
Contents
MOTIVATION AND BACKGROUND MATERIAL | 7 |
nuisance parameter for ith stratum | 16 |
LOG ODDS RATIO REGRESSION FOR A SEQUENCE | 28 |
Copyright | |
4 other sections not shown
Common terms and phrases
Assumption asymptotic normality BERP BIAS SD MSE case-control studies Chapter CMLE concave functions confounding consistency convergence CORR corrected estimators covariate measurement error covariate vector defined Dimr disease Dominated Convergence Theorem effect modifier ESTIMATOR BIAS ESTIMATOR BIAS SD exposure finite fixed fNjk full rank FUNCT ô functional estimator hence implies ith stratum Lemma likelihood function linear models linear regression log odds ratio logit Pij matching matrix maximum likelihood estimator mean squared error measurement error MSE BIAS SD MSE for Model naive estimator NAIVE ô notation number of strata odds ratio regression positive definite random variables ratio regression model Sample Size SS SD and MSE Section sequence simulation study sparse strata Stefanski 1985 Stefanski and Carroll stratum subsection Theorem variance