Permutation Tests for Matched Pairs with Adjustments for Covariates
Paul R. Rosenbaum
Journal of the Royal Statistical Society Series C, 1988, vol. 37, issue 3, 401-411
Abstract:
In observational studies, treated and control subjects are often matched on the basis of observed covariates to permit comparisons of subjects who appeared similar before treatment. In many studies, however, it is not possible to find an exact match for every treated subject, so that within matched pairs treated and control subjects may still differ with respect to some observed covariates. This paper discusses a simple general method for obtaining permutation inferences that adjust for such observed differences within pairs. The method generalizes both the Wilcoxon signed rank test for continuous responses and the McNemar‐Cox test for binary responses, as well as many other permutation tests for matched paris.
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://doi.org/10.2307/2347314
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:37:y:1988:i:3:p:401-411
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876
Access Statistics for this article
Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith
More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().