Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

When contextual features of test-taking environments differentially affect item responding for different test-takers and these features vary across test administrations, they may cause differential ...

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

Effects of ethnicity on genotype-phenotype correlations in individuals with a BRCA1 or BRCA2 mutation. Background: So far, few studies have investigated the impact of specially trained breast care ...

This course is available on the MPhil/PhD in Health Policy and Health Economics and MPhil/PhD in Statistics. This course is available as an outside option to students on other programmes where ...

This course is available on the MPA in Data Science for Public Policy, MSc in Health Data Science, MSc in Social Research Methods, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in ...