Explores Quitopolis, an app to quit smoking, offering tools and support to resist cravings and track progress.
Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.
Introduces regression analysis, covering linear and nonlinear models, Poisson regression, and failure time analysis using various datasets.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Emphasizes the critical importance of understanding statistics to avoid errors in research and decision-making, using motivating examples and practical exercises.
Covers Inference, Model Building, Variable Selection, Robustness, Regularised Regression, Mixed Models, and Regression Methods.
Covers causal analysis of observational data, pitfalls, tools for valid conclusions, and addressing confounding variables.
Explores the challenges of observational studies, emphasizing the importance of randomization and sensitivity analysis in drawing valid conclusions from 'found data'.
Explores observational studies, pitfalls, solutions, and the importance of valid conclusions in research projects.
Discusses the limitations of the IPAT formula in decomposing environmental impact.
