Related Experiment Video
Updated: Feb 13, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
Published on: December 10, 2012
When significance becomes insignificant: Effect sizes and their uncertainties in Bayesian and frequentist frameworks
Alexander Feckler1, Matthew Low2, Jochen P Zubrod3
1Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Abstract:
Bayesian methods and frequentist confidence intervals are proposed as an alternative approach in ecotoxicology, emphasizing effect sizes and associated (un)certainties to judge the biological relevance of effects instead of basing decisions on p values. These approaches show advantages over null hypothesis significance testing. In particular, Bayesian methods revealed more potential than frequentist counterparts, as the posterior distribution and its credible intervals can be directly interpreted as the probability of effect sizes. Environ Toxicol Chem 2018;37:1949-1955. © 2018 SETAC.
Related Concept Videos
The Uncertainty Principle
Statistical Significance
Uncertainty in Measurement: Significant Figures
Uncertainty in Measurement: Reading Instruments
Statistical Methods for Analyzing Epidemiological Data
Pharmaceutical Alternatives: Polymorphic Form-Related and Particle Size-Related Therapeutic Nonequivalence

