A new exact and more powerful unconditional test of no treatment effect from binary matched pairs.
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.
Lloyd
Chris J
CJ
Melbourne Business School, Carlton, 3053, Australia email:c.lloyd@mbs.edu.
D001699:Biometry / Q000379:methods*; D016022:Case-Control Studies; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D011336:Probability; D012307:Risk Factors; D013959:Thyroid Diseases / Q000235:genetics; D018433:Twin Studies as Topic / Q000706:statistics & numerical data; D049951:X Chromosome Inactivation