Application of variance analysis in experimental pharmacology

Abstract

The article discusses various types of variance analysis: one-factor, two-factor, repeated measurements, including detailed analysis of variance categorical data. The criteria of multiple comparisons are described: according to Bonferroni, according to Newman-Kales, according to Dunnet, according to Scheffe. All the methods considered are accompanied by examples of analysis of pharmacological data.

Keywords

• analysis of variance
• multiple comparisons
• quantitative and categorical data