##Statistics Seminar##\\ Department of Mathematical Sciences ^ **DATE:**|Thursday, Month 31, 2017 | ^ **TIME:**|1:15pm -- 2:15pm | ^ **LOCATION:**|WH 100E | ^ **SPEAKER:**|Chen Liang, Binghamton University | ^ **TITLE:**|An information matrix test for logistic regression models based on case-control data | \\ **Abstract** We propose an information-matrix-based goodness-of-fit statistic to test the validity of the logistic regression model based on case-control data by extending the information matrix test of White (1982) for detecting one-sample parametric model misspecification to the semiparametric profile likelihood setting under a two-sample semiparametric model, which is equivalent to the assumed logistic regression model. The proposed test statistic requires a high-dimensional matrix inversion, but is otherwise easily computed and has an asymptotic chi-squared distribution