search for: minlike

...In the exactci package, the test and confidence interval are calculated from the same p-value function so these kind of test-CI inconsistencies are avoided as much as is possible. Here are the results from the package (first using the central method to match the CI from poisson.test, then using the minlike method to match the p-value from poisson.test): > poisson.exact(c(2,10),c(17877,20000)) Exact two-sided Poisson test (central method) data: c(2, 10) time base: c(17877, 20000) count1 = 2, expected count1 = 5.664, p-value = 0.06056 alternative hypothesis: true rate ratio is not equal...

...In the exactci package, the test and confidence interval are calculated from the same p-value function so these kind of test-CI inconsistencies are avoided as much as is possible. Here are the results from the package (first using the central method to match the CI from poisson.test, then using the minlike method to match the p-value from poisson.test): > poisson.exact(c(2,10),c(17877,20000)) Exact two-sided Poisson test (central method) data: c(2, 10) time base: c(17877, 20000) count1 = 2, expected count1 = 5.664, p-value = 0.06056 alternative hypothesis: true rate ratio is not equal...

...matrix(c(6, 12, 12, 5), 2, 2) p-value = 0.04371 alternative hypothesis: true odds ratio is not equal to 1 95 percent confidence interval: 0.03888003 1.05649145 sample estimates: odds ratio 0.2189021 Using the exact2x2 function, there are two options for two-sided Fisher's exact test: "minlike" (default) is the usual one that defines extreme in terms of values smaller than the observed probability, and "central" is the one that defines the two-sided p-value as twice the minimum of the one-sided ones. The problem with fisher.test is that it gives confidence intervals which...

Hi all, I have updated the exact2x2 package. The update corrects an error that can sometimes occur in the confidence intervals when the number of counts are large and tsmethod="minlike". In addition to fixing the bug, the correction gives a much faster method for calculating the confidence interval. The package gives exact confidence intervals that match the p-values for Fisher's exact test and Blaker's exact test as well as giving an exact version of McNemar's...

...matrix(c(6, 12, 12, 5), 2, 2) p-value = 0.04371 alternative hypothesis: true odds ratio is not equal to 1 95 percent confidence interval: 0.03888003 1.05649145 sample estimates: odds ratio 0.2189021 Using the exact2x2 function, there are two options for two-sided Fisher's exact test: "minlike" (default) is the usual one that defines extreme in terms of values smaller than the observed probability, and "central" is the one that defines the two-sided p-value as twice the minimum of the one-sided ones. The problem with fisher.test is that it gives confidence intervals which...

Hi all, I have updated the exact2x2 package. The update corrects an error that can sometimes occur in the confidence intervals when the number of counts are large and tsmethod="minlike". In addition to fixing the bug, the correction gives a much faster method for calculating the confidence interval. The package gives exact confidence intervals that match the p-values for Fisher's exact test and Blaker's exact test as well as giving an exact version of McNemar's...