Interval-censored data occur when subjects are assessed by using regular follow-up. In such instances, we consider rank-invariant permutation tests to test the significance of a treatment versus a ...

Tests based on the permutation of observations are a common and attractive method of comparing two groups of outcomes, in part because they retain proper test size with minimal assumptions and can ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

The goal of uncovering the pathophysiology of complex disorders is best served by identifying the specific alleles involved, and characterizing their functional consequences at cellular and whole ...

This example, from Keith Soper at Merck, illustrates the exact permutation Cochran-Armitage test carried out on permutation resamples. In the following data set, the 0s represent failures and the 1s ...

The following section discusses the statistical tests performed in the MULTTEST procedure. For continuous data, a t-test for the mean is available. For discrete variables, available tests are the ...