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

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013. Generalized Estimating Equations: Examples of GEEs

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011. M-Estimation: A Practicing Statistician's Best Friend (Conceptual, Theory, and Application)

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Interview with Scott Zeger on Generalized Estimating Equations

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Bayesian Inference: Overview

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045. Proportional Hazards Models using EHA in R

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GLM - 13 - GEE (Generalized Estimating Equations)

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We think this pattern continues forever, but can't prove it

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Advanced Regression Analysis for Behavioral Sciences/Generalized Estimating Equations

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Analysis of Discrete Data Lesson 6 part 1: generalized linear models (GLMs) and logistic regression

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Generalized Estimating Equations (GEE)

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Lecture 20: estimation, MLE, characterizing uncertainty

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GLM Part 4 - Overdispersion

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NYC's Joyous Knicks Victory Celebration vs. Trump's Joyless White House UFC Fight | The Daily Show

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Keith Beven: Breakthroughs in Uncertainty Estimation

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001. Welcome to STAT 437

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GEE Model Explained | Generalized Estimating Equations with Example & Interpretation

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Understanding Generalized Linear Models (Logistic, Poisson, etc.)

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How SpaceX Humiliated Wall Street

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Multilevel data models III: GEE regression models - Dr. Shrikant I Bangdiwala

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