An overview is provided of the material covered in the book. Methods are formulated in the book for modifications/extensions of generalized estimating equations (GEE) and of linear mixed modeling (LMM) based on maximizing a likelihood function to generate estimating equations to solve for parameter estimation. Example analyses are also provided in the book applying these methods to a variety of correlated sets of outcomes and using adaptive regression for modeling possible nonlinear relationships for those outcomes. Supplementary materials are also available online or upon request from the author.