Analysis of proportions using arcsine transform with any experimental design.

ABSTRACT:

Introduction

Exact tests on proportions exist for single-group and two-group designs, but no general test on proportions exists that is appropriate for any experimental design involving more than two groups, repeated measures, and/or factorial designs.

Method

Herein, we extend the analysis of proportions using arcsine transform to any sort of design. The resulting framework, which we have called Analysis of Proportions Using Arcsine Transform (ANOPA), is completely analogous to the analysis of variance for means of continuous data, allowing the examination of interactions, main and simple effects, post-hoc tests, orthogonal contrasts, et cetera.

Result

We illustrate the method with a few examples (single-factor design, two-factor design, within-subject d

SUBMITTER: Laurencelle L 

PROVIDER: S-EPMC9922716 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature