The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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

Motivated by this speedup, we propose modeling logistic regression problems algorithmically with a mixed integer nonlinear optimization (MINLO) approach in order to explicitly incorporate these ...

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.

Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory variables, and the association between pairs of responses. When the former ...

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 ...