A Hybrid Logistic Model for Case-Control Studies |
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| Authors: | Tuhao Chen Fred M. Hoppe Satish Iyengar David Brent |
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| Affiliation: | (1) Department of Mathematics and Statistics, Bowling Green State University, USA;(2) Department of Mathematics and Statistics, McMaster University, USA;(3) Department of Statistics, University of Pittsburgh, USA;(4) Department of Psychiatry, University of Pittsburgh, USA |
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| Abstract: | For logistic regression in case-control studies, when risk factors associated with the outcome are exceedingly rare in the control group, the estimation of parameters in the model becomes difficult. In this paper, we propose a two-stage hybrid method to achieve this. In the first stage, we model the risk due to the rare factor, and in the second stage we model the residual risk due to the other factors using standard logistic model. |
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| Keywords: | logistic regression maximum likelihood estimation case-control study child and adolescent suicide |
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