In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...

What are the advantages of logistic regression over decision trees? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand ...

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...

Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual ...

A remote sensing and GIS based landslide susceptibility zonation (LSZ) of the Tehri reservoir rim region has been presented here. Landslide causal factors such as land use/land cover, photo-lineaments ...

This course is compulsory on the BSc in Data Science, BSc in Mathematics, Statistics and Business and BSc in Politics and Data Science. This course is available as an outside option to students on ...