Supporting information may be found in the online version of this article.
Armitage Lecture 2011: the design and analysis of life history studies†
Article first published online: 10 FEB 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 32, Issue 13, pages 2155–2172, 15 June 2013
How to Cite
Lawless, J. F. (2013), Armitage Lecture 2011: the design and analysis of life history studies. Statist. Med., 32: 2155–2172. doi: 10.1002/sim.5754
- Issue published online: 8 MAY 2013
- Article first published online: 10 FEB 2013
- Manuscript Accepted: 17 JAN 2013
- Manuscript Received: 5 NOV 2012
- incomplete data;
- intermittent observation;
- multistate models;
- Markov processes
Life history studies collect information on events and other outcomes during people's lifetimes. For example, these may be related to childhood development, education, fertility, health, or employment. Such longitudinal studies have constraints on the selection of study members, the duration and frequency of follow-up, and the accuracy and completeness of information obtained. These constraints, along with factors associated with the definition and measurement of certain outcomes, affect our ability to understand, model, and analyze life history processes. My objective here is to discuss and illustrate some issues associated with the design and analysis of life history studies. Copyright © 2013 John Wiley & Sons, Ltd.