Seven recommendations for alternatives to the common analysis of variance (ANOVA) with application in the life sciences – using R

05/31/2022
by   Ludwig A. Hothorn, et al.
0

Standard ANOVA is among the most widely used tests in the life sciences and beyond. Several alternatives are proposed to provide simultaneous confidence intervals, ensure tight control of FWER, be robust to variance heterogeneity, avoid pre-testing for global effect (for one-way designs) or irrelevant interaction (for multi-way designs) prior to multiple comparison procedures. On the basis of selected examples, the R programs are provided for this purpose.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/12/2017

Wild Bootstrapping Rank-Based Procedures: Multiple Testing in Nonparametric Split-Plot Designs

Split-plot or repeated measures designs are frequently used for planning...
research
02/11/2023

The Kruskal Wallis test can not be recommended

Although the Kruskal-Wallis (KW) test is widely used, it should not be r...
research
08/10/2023

Optimal Designs for Two-Stage Inference

The analysis of screening experiments is often done in two stages, start...
research
09/18/2019

Conditional Information and Inference in Response-Adaptive Allocation Designs

Response-adaptive allocation designs refer to a class of designs where t...
research
06/01/2017

Data Analysis in Multimedia Quality Assessment: Revisiting the Statistical Tests

Assessment of multimedia quality relies heavily on subjective assessment...
research
12/09/2022

Jumping over the paywall: Strategies and motivations for scholarly piracy and other alternatives

Despite the advance of the Open Access (OA) movement, most scholarly pro...

Please sign up or login with your details

Forgot password? Click here to reset