Frontiers and Alternatives: Cluster-Robust, GEE, Fixed-Effects, Regularized, and Tree-Based Mixed Models

In this chapterfive analyses of the same clustered data and a decision table; cluster-robust standard errors; generalized estimating equations; fixed-effects regression; blended analyses and a simulation of all approaches under three data-generating scenarios; generalized additive mixed models; trees and forests with random effects; random effects as regularization and the lasso with random effects; multilevel models for large data and cross-validation by cluster; where to go next.