Chapter 10. Mixed Model Diagnostics

10.1

Introduction

413

10.2

From Linear to Linear Mixed Models

415

 

10.2.1

Residuals in the Linear Model

415

 

10.2.2

Influence Measures in the Linear Model

417

 

10.2.3

Random Effects and the Consequences of Generalized Least Squares

418

10.3

The Influence Diagnostics

424

 

10.3.1

Overall Influence

424

 

10.3.2

Influence on the Parameter Estimates

424

 

10.3.3

Influence on the Precision of Estimates

425

 

10.3.4

Iterative or Non-iterative Analysis

426

10.4

Example: Unequally Spaced Repeated Measures

426

 

10.4.1

No Temporal Effects in Mean Structure

427

 

10.4.2

With Temporal Effects in Mean Structure

433

10.5

Summary

435

Introduction

A statistical model is the mathematical manifestation of a data generating mechanism. A model that fits the data well represents ...

Get SAS for Mixed Models, Second Edition, 2nd Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.