Abstract #302393

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JSM 2003 Abstract #302393
Activity Number: 99
Type: Other
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: ASA
Abstract - #302393
Title: As Time Goes By: An Introduction to the Analysis of Longitudinal Data
Author(s): Marie Davidian*+
Companies: North Carolina State University
Address: PO Box 8203, Room 209 Patterson Hall, Raleigh, NC, 27695-8203,
Keywords:
Abstract:

Studies in which data are collected over time repeatedly and intermittently on each of a number of experimental units (humans, rats, plots, etc.) are ubiquitous in many fields of research, and the scientific questions of interest often have to do with how the response under study changes over time and interrelationships between the pattern of change and other factors. To address these questions, a statistical framework is required that allows the questions to be stated formally, and complications such as correlation among observations on the same unit must be taken into appropriate account in order to draw realistic inferences. Over the past few decades, fundamental advances in the development of statistical models and methods for analysis of longitudinal data have been made. We discuss different scientific questions that may be of interest in longitudinal studies and the rationale for the need for specialized methods for longitudinal data analysis. We then introduce and contrast two popular approaches for representing longitudinal data, mixed-effects models and marginal models, and review associated methods. Examples from a variety of fields will motivate and exemplify the issues.

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