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Data Preparation for Analytics Using SAS by Gerhard Svolba

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Chapter 10

Data Structures for Longitudinal Analysis

 

10.1 Introduction

10.2 Data Relationships in Longitudinal Cases

10.3 Transactional Data, Finest Granularity, and Most Appropriate Aggregation Level

10.4 Data Mart Structures for Longitudinal Data Marts

 

10.1  Introduction

In this chapter we will cover longitudinal data marts. In longitudinal data marts we have observations over time. This means that time or a sequential ordering is included in these data marts by a time or sequence variable.

Longitudinal data marts do not have an analysis subject such as in multiple-rows-per-subject data marts. They can represent one or more variables measured on several points in time, as we see in the following examples.

Or longitudinal data marts ...

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