Explain how interactions, confounding, independent risk and dose-response relations among variables are addressed in regression analyses. Describe assessment of nonlinearity, in categorical and continuous variables.

Describe the rationale underlying the major techniques used to analyze data from cross-sectional, case-control, and cohort studies, and from clinical trials, including tabular methods, general linear models, generalized linear models, generalized estimating equations, Cox regression, and latent variable models.

I would appreciate a thorough written lesson with examples! thanks.