Literature DB >> 18047530

A new exact and more powerful unconditional test of no treatment effect from binary matched pairs.

Chris J Lloyd1.   

Abstract

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 Research 12, 91-108). The latter method, however, may have computational advantages for large samples.

Mesh:

Year:  2007        PMID: 18047530     DOI: 10.1111/j.1541-0420.2007.00936.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  7 in total

1.  Sample size determination for a matched-pairs study with incomplete data using exact approach.

Authors:  Guogen Shan; Charles Bernick; Sarah Banks
Journal:  Br J Math Stat Psychol       Date:  2017-06-30       Impact factor: 3.380

2.  A note on monotonicity assumptions for exact unconditional tests in binary matched-pairs designs.

Authors:  Xiaochun Li; Mengling Liu; Judith D Goldberg
Journal:  Biometrics       Date:  2011-04-05       Impact factor: 2.571

3.  Confidence intervals for difference in proportions for matched pairs compatible with exact McNemar's or sign tests.

Authors:  Michael P Fay; Keith Lumbard
Journal:  Stat Med       Date:  2020-12-01       Impact factor: 2.497

4.  Comparing categorical variables in clinical and experimental studies.

Authors:  Anna Carolina Miola; Hélio Amante Miot
Journal:  J Vasc Bras       Date:  2022-04-01

5.  Efficient Noninferiority Testing Procedures for Simultaneously Assessing Sensitivity and Specificity of Two Diagnostic Tests.

Authors:  Guogen Shan; Amei Amei; Daniel Young
Journal:  Comput Math Methods Med       Date:  2015-08-20       Impact factor: 2.238

6.  The McNemar test for binary matched-pairs data: mid-p and asymptotic are better than exact conditional.

Authors:  Morten W Fagerland; Stian Lydersen; Petter Laake
Journal:  BMC Med Res Methodol       Date:  2013-07-13       Impact factor: 4.615

7.  Powerful exact unconditional tests for agreement between two raters with binary endpoints.

Authors:  Guogen Shan; Gregory E Wilding
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

  7 in total

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