ja-godfrey/pypowerup-streamlit: v0.1.0 — Initial Release

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Authors: Sophia Yang, Jason Godfrey, Erik Welch
Cited by: 0

Abstract

pypowerup-streamlit v0.1.0 Initial public release of the browser-based PowerUp! interface. Features Three calculation modes: Minimum Detectable Effect Size (MDES), Minimum Required Sample Size (MRSS), and Power All 21 designs from the original PowerUp! Excel workbook across six categories: IRA, BIRA (2–4 level), CRA (2–4 level), BCRA, Regression Discontinuity, and Interrupted Time-Series Sensitivity analysis with interactive Plotly power and MDES curves Export to CSV, JSON, Excel, and LaTeX Auto-generated methods paragraph for manuscript insertion Parameter layout matches the original Excel workbook Verification 77-test parity suite verifying numerical agreement with PowerUp! Excel reference values (Dong & Maynard, 2013) to ≥2 decimal places Dependencies Python 3.8+ streamlit, pypowerup, scipy, numpy, plotly, pandas, openpyxl Reference Dong, N. & Maynard, R. A. (2013). PowerUp!: A tool for calculating minimum detectable effect sizes and minimum required sample sizes for experimental and quasi-experimental design studies. Journal of Research on Educational Effectiveness, 6(1), 24–67. https://doi.org/10.1080/19345747.2012.673143

Fields of Study & Subjects

Statistical Methods in Clinical Trials Statistics Education and Methodologies Statistical Methods in Epidemiology

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN