Unconditional Versions of Several Tests Commonly Used in the Analysis of Contingency Tables
- 1 March 1999
- journal article
- research article
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 55 (1) , 264-267
- https://doi.org/10.1111/j.0006-341x.1999.00264.x
Abstract
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.Keywords
This publication has 15 references indexed in Scilit:
- More Powerful Tests from Confidence Interval p ValuesThe American Statistician, 1996
- Efficient power computation for exact and mid‐P tests for the common odds ratio in several 2 × 2 tablesStatistics in Medicine, 1994
- Statistical issues in the analysis of the long-term carcinogenicity bioassay in small rodents: An empirical evaluation of statistical decision rulesFundamental and Applied Toxicology, 1989
- Exact Unconditional Sample Sizes for the 2 × 2 Binomial TrialJournal of the Royal Statistical Society. Series A (General), 1985
- A Comparison of Alternative Tests for the 2 × 2 Comparative TrialJournal of the Royal Statistical Society. Series A (General), 1982
- Small sample properties of the Mantel-Haenszel testBiometrika, 1979
- Tests for Linear Trends in Proportions and FrequenciesPublished by JSTOR ,1955
- Some Methods for Strengthening the Common χ 2 TestsPublished by JSTOR ,1954
- THE MEANING OF A SIGNIFICANCE LEVELBiometrika, 1947
- Significance Tests for 2 × 2 TablesBiometrika, 1947