Parameter estimation for the logistic regression model under case-control study

The article proposes parameter estimation and model testing of logistic regressions under case-control framework. Estimators are proposed by minimizing the integrated square distance (ISD) based on estimated density log-ratio. Estimation consistency and asymptotic normality are established. The test statistic based on the minimized ISD is also asymptotically normal under null hypotheses.