A New Exact and More Powerful Unconditional Test of No Treatment Effect from Binary Matched Pairs

Chris J. Lloyd

Biometrics, 2008, vol. 64, issue 3, 716-723

Abstract: Summary We consider the problem of testing for a difference in the probability of success from matched binary pairs. Starting with three standard inexact tests, the nuisance parameter is first estimated and then the residual dependence is eliminated by maximization, producing what I call an E+M P‐value. The E+M P‐value based on McNemar's statistic is shown numerically to dominate previous suggestions, including partially maximized P‐values as described in Berger and Sidik (2003, Statistical Methods in Medical Research12, 91–108). The latter method, however, may have computational advantages for large samples.

Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://doi.org/10.1111/j.1541-0420.2007.00936.x

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:biomet:v:64:y:2008:i:3:p:716-723

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0006-341X

Access Statistics for this article

More articles in Biometrics from The International Biometric Society
Bibliographic data for series maintained by Wiley Content Delivery ().