effect-size
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This code is an implementation of the A statistic, otherwise known as the probability of superiority, in SAS. The A statistic is a non-parametric form of the common language effect-size. Both it and its counterpart, RProbSup, are available at the website linked below.
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May 4, 2021
Identifying and avoiding common misinterpretations in using statistics
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Jul 2, 2018 - Jupyter Notebook
Two sample data analysis method that tests for negligible and meaningful effect sizes (through difference in means)
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Jun 5, 2023 - R
Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation of RecSys Experiments
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Jul 6, 2023 - Jupyter Notebook
This script computes two indices of effect size for pairwise comparisons based on the Mann Whitney U statistic.
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May 12, 2019 - R
A Shiny R web application to estimate differences in diagnostic efficiency based on differences between single-condition cases.
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Oct 2, 2020 - R
Computation and visualization of standardized mean differences from simulated data
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Oct 29, 2020 - MATLAB
Social studies lab dedicated to preferences between NA and EU in board games
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Sep 6, 2021 - Jupyter Notebook
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
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May 21, 2023 - Python
Basic Analytical Statistics with Excel [Spreadsheets]
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Sep 13, 2023
Estimation Approach to Statistical Inference [R Package]
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May 1, 2024 - R
Effect size measures
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Mar 7, 2024 - Julia
This repo is no longer being maintained. See this repo instead: https://github.com/hauselin/esconvert
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Mar 20, 2019 - R
Interpret effects and visualise uncertainty
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Feb 28, 2024 - R
Calculating robust effect sizes using bootstrap (resampling) technique in R.
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Apr 9, 2023 - R
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