Modern Regression: Overdispersion and Model Assessment

This lecture covers topics such as iterative weighted least squares, model checking, generalized linear models, Poisson regression, contingency tables, ordinal responses, overdispersion, mixed models, smoothing, spline smoothing, and additive models. It also discusses the assessment of fit in the context of AIDS data, dealing with overdispersion, and the negative binomial model. The instructor explains the concepts using examples and deviance analysis, emphasizing the importance of quasi-likelihood estimation for count data.