Regression can be used on categorical responses to estimate probabilities and to classify.

Given logistic regression is substantially more computationally efficient than Cox regression in both settings, we propose a two-step approach to GWAS in cohort and case-cohort studies.

The alternating logistic regression estimates are shown to be reasonably efficient relative to solutions of second-order equations in a few problems. The new method is illustrated with an analysis of ...

55%: A group work multiple linear regression project to be handed in by the second week of the ST 35%: An individual logistic regression project to be handed in at the same time as the group project ...