Unconditional versions of several tests commonly used in the analysis of contingency tables.
By focusing on a confidence interval for a nuisance parameter, Berger and Boos (1994, Journal of the American Statistical Association 89, 1012-1016) proposed new unconditional tests. In particular, they showed that, for a 2 x 2 table, this procedure generally was more powerful than Fisher's exact test. This paper utilizes and extends their approach to obtain unconditional tests for combining several 2 x 2 tables and testing for trend and homogeneity in a 2 x K table. The unconditional procedures are compared to the conditional ones by reanalyzing some published biomedical data.
Freidlin
B
B
Biometric Research Branch, National Cancer Institute, Bethesda, Maryland 20892-7434, USA. freidlinb@ctep.nci.nhi.gov
D000465:Algorithms; D001699:Biometry; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D009010:Monte Carlo Method; D009369:Neoplasms / Q000628:therapy