ABSTRACT

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and illu

chapter 1|10 pages

Introduction

chapter 3|40 pages

Misclassification in Two-Way Tables

chapter 4|32 pages

Simple Linear Regression

chapter 5|38 pages

Multiple Linear Regression

chapter 7|36 pages

Binary Regression

chapter 8|60 pages

Linear Models with Nonadditive Error

chapter 9|6 pages

Nonlinear Regression

chapter 10|36 pages

Error in the Response

chapter 11|24 pages

Mixed/Longitudinal Models

chapter 12|24 pages

Time Series

chapter 13|4 pages

Background Material