012. Generalized Estimating Equations: Estimating parameters from Marginal Models

This video contains a discussion of how we can estimate the parameter values (as well as test hypothesis, build confidence intervals, etc.) using the process of GEE. This follows from M-estimation, and we understandably get a lot "for free". With this, we can now implement any marginal model, supposing that we can determine how to fit it in practice. Video Timeline: 00:00 - Introduction 01:24 - Recall GLMMs 03:52 - Deriving M-Estimators for GLMMs 08:18 - Generalized Estimating Equations (GEEs) 12:32 - Asymptotic Inference and Hypothesis Testing 21:44 - Tangent on Working Correlation 23:42 - Parameter Interpretation 26:00 - Time-Varying Covariates