Lectures related to Smoking | EPFL Graph Search

Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.

Explores Poisson GLM for analyzing count data in categorical analysis, focusing on contingency tables and Bayesian inference.

Explores Quitopolis, an app to quit smoking, offering tools and support to resist cravings and track progress.

Explores the impact of a binary covariate on binary responses using 2x2 tables.

Covers Inference, Model Building, Variable Selection, Robustness, Regularised Regression, Mixed Models, and Regression Methods.

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.