Tobacco Control

Social determinants of support for tobacco control policies to end the use of commercial cigarettes: findings from the 2022 International Tobacco Control …

Background Some countries are exploring policies that might help lower cigarette smoking prevalence to below 5% by 2030. This ...
technologynetworks

Logistic Regression

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 ...
Risk

Calibration alternatives to logistic regression and their potential for transferring the statistical dispersion of discriminatory power into uncertainties in probabilities of ...

The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach ...
University of Bristol

Introduction to Linear and Logistic Regression Models

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...
lse

Applied Regression

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 ...