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Size and Power of Test Statistics for Gene Correlation in 2 × 2 Contingency Tables
Author(s) -
Mannan M.,
Nassar R.
Publication year - 1995
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710370404
Subject(s) - contingency table , linkage disequilibrium , statistics , mathematics , linkage (software) , correlation , correlation coefficient , monte carlo method , disequilibrium , wald test , statistical hypothesis testing , genetics , allele , biology , gene , medicine , ophthalmology , geometry , haplotype
Monte Carlo simulation of size and power of two proposed tests for linkage disequilibrium between two genes each with two alleles were investigated. Results were compared with two commonly used statistics, the correlation coefficient r and the log‐odds ratio tests. Depending on the sign of the linkage disequilibrium, the new tests were found to be more powerful than either of the correlation or log‐odds ratio tests. However, on average (positive and negative linkage disequilibrium) the Chi‐square test using the correlation coefficient was to a small extent more powerful than the other tests.