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Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS by Edward F. Vonesh

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1

Introduction

1.1  Correlated response data

1.2  Explanatory variables

1.3  Types of models

1.4  Some examples

1.5  Summary features

Correlated response data, either discrete (nominal, ordinal, counts), continuous or a combination thereof, occur in numerous disciplines and more often than not, require the use of statistical models that are nonlinear in the parameters of interest. In this chapter we briefly describe the different types of correlated response data one encounters in practice as well as the types of explanatory variables and models used to analyze such data.

1.1 Correlated response data

Within SAS, there are various models, methods and procedures that are available for analyzing any of four different types of correlated response ...

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