Bias-corrected maximum semiparametric likelihood estimation under logistic regression models based on case-control data

摘要

It is discussed about the maximum likelihood estimation of parameters involved in the commonly used logistic regression models. These models are, in fact, used for modeling binary data and in the analysis of case-control studies.