A Tukey type trend test for repeated carcinogenicity bioassays, motivated by multiple glyphosate studies

TL;DR

This paper introduces a new Tukey trend test designed for analyzing repeated long-term carcinogenicity bioassays, facilitating straightforward data analysis especially in studies like those involving glyphosate, without addressing the controversy itself.

Contribution

The paper develops a novel Tukey type trend test specifically for repeated carcinogenicity bioassays, expanding statistical tools for complex bioassay data analysis.

Findings

New Tukey trend test implemented for bioassays

Method demonstrated using real glyphosate study data

Facilitates straightforward analysis with existing R packages

Abstract

In the last two decades, significant methodological progress to the simultaneous inference of simple and complex randomized designs, particularly proportions as endpoints, occurred. This includes: i) the new Tukey trend test approach, ii) multiple contrast tests for binomial proportions, iii) multiple contrast tests for poly-k estimates, and Add-1 approximation for one-sided inference. This report focus on a new Tukey type trend test to evaluate repeated long-term carcinogenicity bioassays which was motivated by multiple glyphosate studies. Notice, it is not the aim here to contribute to the evaluation of Glyphosate and its controversies. By means of the CRAN-packages tukeytrend, MCPAN, multcomp the real data analysis is straightforward possible.