Tests for paired count outcomes

Tests for Paired Means

The one-sample paired t-test may be used to test whether the mean difference of two populations is greater than, less than, or not equal to a specific value. Because the t distribution is used to calculate critical values for the test, this test is often called the paired t-test. If the standard deviation of the differences is known, the normal distribution is used instead of the t distribution...

Tests for Paired Sensitivities

Paired Preference Tests

In consumer research, the role of the paired preference test appears to be sacrosanct, whether deserved or not. Paired preference simply means putting one product up against another, and instructing the respondent to indicate which one the respondent prefers. The ‘preference’ measure does not show how much one product is liked (or how much more one product is liked versus another). Rather, the ...

Equivalence Tests for Paired Means (Simulation)

This procedure allows you to study the power and sample size of tests of equivalence of means of two correlated variables. Schuirmann’s (1987) two one-sided tests (TOST) approach is used to test equivalence. The paired t-test is commonly used in this situation. Other tests have been developed for the case when the data are not normally distributed. These additional tests include the Wilcoxon si...

An accurate paired sample test for count data

MOTIVATION Recent technology platforms in proteomics and genomics produce count data for quantitative analysis. Previous works on statistical significance analysis for count data have mainly focused on the independent sample setting, which does not cover the case where pairs of measurements are taken from individual patients before and after treatment. This experimental setting requires paired ...