The Open UniversitySkip to content

Within-subject exposure dependency in case-crossover studies

Vines, S.K. and Farrington, C.P. (2001). Within-subject exposure dependency in case-crossover studies. Statistics in Medicine, 20(20) pp. 3039–3049.

DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


In the case-crossover design, only cases are sampled and the hazard ratio is estimated from within-subject comparisons of exposures at the event time and in M control periods prior to the event. We consider the effect of within-subject dependence of exposures in successive time periods. We show that estimates obtained from the conditional logistic model are biased. This bias disappears if the distribution of exposures in the M+1 successive time intervals is exchangeable. In contrast, the Mantel-Haenszel estimator for the odds ratio is approximately unbiased provided that exposures are stationary. Suitable methods of analysis of case-crossover designs using maximum likelihood may be derived from cohort rather than case-control models. Copyright © 2001 John Wiley & Sons, Ltd.

Item Type: Journal Item
ISSN: 0277-6715
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 3868
Depositing User: Karen Vines
Date Deposited: 30 Jun 2006
Last Modified: 07 Dec 2018 08:55
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU