WebImplements a generalization of the Cochran-Armitage trend test to multinomial data. In addition to an overall test, multiple testing adjusted p-values for trend in individual outcomes and power ... The function is modeled after the SAS function CNONCT. If p is larger than the cumulative proba-bility of the central chi-square distribution at x ... WebThe Cochran-Armitage test is used to test whether there is a linear trend when the response is binary. This test is used with data in the form of a contingency table, such as that described in Independence Testing, where there are only two data rows and we suspect (or hope) that the columns are ordered.
SAS/STAT MULTTEST Procedure
WebThe TREND option in the TABLES statement requests the Cochran-Armitage test for trend, which tests for trend in binomial proportions across levels of a single factor or covariate. This test is appropriate for a contingency table where one variable has two levels and the other variable is ordinal. WebResults of the Cochran-Armitage trend test are similar to those obtained by testing that the slope is zero in a linear logistic model. Since binomial distribution can only take discrete … population of waterville me
Cochran-Armitage Trend test interpretation - SAS
WebCochran-Armitage linear trend test Freeman-Tukey double arcsine test Peto mortality-prevalence (log-rank) test Fisher exact test provides exact versions of the Cochran-Armitage and Peto tests that use permutation distributions and asymptotic versions that use an optional continuity correction. WebCochran-Armitage Test for Trend Jonckheere-Terpstra Test Tests and Measures of Agreement Cochran-Mantel-Haenszel Statistics Gail-Simon Test for Qualitative Interactions Exact Statistics Computational Resources Output Data Sets Displayed Output ODS Table Names ODS Graphics Examples References The GAM Procedure The GAMPL … WebThe TREND option in the TABLES statement provides the Cochran-Armitage test for trend, which tests for trend in binomial proportions across levels of a single factor or covariate. This test is appropriate for a two-way table where one variable has two levels and the other variable is ordinal. population of watford city