2004
DOI: 10.1016/j.csda.2003.11.012
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Comparing the asymptotic power of exact tests in 2×2 tables

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Cited by 21 publications
(5 citation statements)
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“…Since one of the four comparisons had at least one cell with an expected N of less than five, chi square tests were not appropriate. Fisher's exact test is commonly used in such situations, although there have been suggestions that it is overly conservative with small samples (Martín Andrés et al, 2004); thus, we chose to employ Barnard's exact test to compare distribution differences, although we also report results of Fisher's exact test. In addition to tests of significance, odds ratios were calculated for each comparison, when possible.…”
Section: Methodsmentioning
confidence: 99%
“…Since one of the four comparisons had at least one cell with an expected N of less than five, chi square tests were not appropriate. Fisher's exact test is commonly used in such situations, although there have been suggestions that it is overly conservative with small samples (Martín Andrés et al, 2004); thus, we chose to employ Barnard's exact test to compare distribution differences, although we also report results of Fisher's exact test. In addition to tests of significance, odds ratios were calculated for each comparison, when possible.…”
Section: Methodsmentioning
confidence: 99%
“…This may lead to markedly lower sample sizes, even in moderately large samples. For example, to test for a difference in binomial proportions when 1 = 0.03, 2 = 0.2, and = 0.05, the sample size needed for 80 per cent power is 60 per group with Fisher's exact test and 52 per group with Fisher-Boschloo's unconditional tests, even though Martín Andrés et al [40] report the conditional test to be acceptable in this case based on an average power consideration. In general, there should be no reason to condition on quantities not fixed by the design.…”
Section: Conditional or Unconditional Testsmentioning
confidence: 99%
“…Multiplex amplification reactions were carried out as previously stated but using Folmer et al (1994) (LCO1490: 5'-GGT-CAACAAATCATAAAGATATTGG-3'; HCO2198: 5'-TAAACTTCAGGGTGACCAAAAAATCA-3') and Darling et al (2008) (COIF-PR115: 5'-TCWAC-NAAYCAYAARGAYATTGG-3'; COIR-PR114: 5'-ACYTCNGGRTGNCCRAARARYCA-3') mitochondrial cytochrome oxidase I (COI) primers at 45°C annealing temperature for 30 s. A one-side Fisher's exact probability test was carried out on the PCR success/failure table for the green/orange DNA as implemented in the function fisher.test of the stats package in R v2.9.1 (R Development Core Team, 2009). Fisher's exact probability test is recommended in order to test for differences in success rates from two-by-two contingency tables with moderate sample sizes (Martín Andrés et al, 2004).…”
Section: Methodsmentioning
confidence: 99%