We inference the semiparametric maximum likelihood estimate (SMLE) and present the moment specification test of the logistic regression model for stratified case-control data. By generalizing the concept of Qin & Zhang (1997), we get the two-sample semiparametric model in each stratum and then inference the SMLE base on this finding. The test statistic is constructed via a discrepancy between two second moments under nonparmetric and semiparametric model. The large sample properties of SMLE are described. The proposed test statistic converges in distribution to the Chi-squared distribution. Simulation studies demonstrate that the test statistic perform well even in finite sample. Illustration with a leprosy disease study is provided