Pairwise Multiple Comparison Tests When Data Are Nonnormal

Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic

When are microcircuits well-modeled by pairwise maximum entropy methods?

Pairwise comparisons across species are problematic when analyzing functional genomic data

There is considerable interest in comparing functional genomic data across species. One goal of such work is to provide an integrated understanding of genome and phenotype evolution. Most comparative functional genomic studies have relied on multiple pairwise comparisons between species, an approach that does not incorporate information about the evolutionary relationships among species. The st...

Union-Intersection Multiple Comparison Tests

The union-intersection principle yields a class of multiple comparison tests that include the classical Scheffé tests for analysis of variance, and are easily applied to any likelihood ratio test. Examples are given.

Pairwise Multiple Comparison Adjustment Procedure for Survival Functions with Right-Censored Data

The aim of this study is to propose a new pairwise multiple comparison adjustment procedure based on Genz's numerical computation of probabilities from a multivariate normal distribution. This method is applied to the results of two-sample log-rank and weighted log-rank statistics where the survival data contained right-censored observations. We conducted Monte Carlo simulation studies not only...