Norman E. Breslow, Richard Holubkov, Maximum Likelihood Estimation of Logistic Regression Parameters Under Two- Phase, Outcome-Dependent Sampling, Journal of the Royal Statistical Society.

Consider a logistic model with independent features in which n and p become increasingly large in a fixed ratio. We prove that (i) the maximum-likelihood estimate (MLE) is biased, (ii) the variability ...

The likelihood equation for a logistic regression model does not always have a finite solution. Sometimes there is a nonunique maximum on the boundary of the parameter space, at infinity. The ...

This is the log odds of success to failure for the hth subpopulation. A nice property of the logistic model is that all possible values of in map into (0,1) for . Note that are the odds ratios.

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Table 2 Power for multivariate adaptive regression splines (MARS) and logistic regression (LR) to detect the specified single nucleotide polymorphism–single nucleotide polymorphism (SNP-SNP ...