BioMedStatX

• App‑Download: Releases-Seite

📖 User Guide

• Read the full tutorial (with embedded screenshots) here:
• docs/index.md

Features

BioMedStatX is an open-source Python application for biomedical and clinical data analysis. It offers a graphical user interface (GUI) for loading experimental data, performing statistical tests, visualizing results, and exporting publication-ready outputs. Designed for researchers and students in the life sciences, BioMedStatX streamlines statistical workflows without requiring coding skills.

• Data Import
  Read CSV and Excel files with multiple sheets and columns.

• Assumption Checks
  Automatic Shapiro–Wilk normality tests and Levene’s variance homogeneity tests, with optional log/Box–Cox transformations on failure.

• Parametric & Non-parametric Tests
  Student’s t-tests, Welch’s t-tests, ANOVA (one-way, two-way, repeated measures, mixed), Mann–Whitney U, Kruskal–Wallis, and more.

• Post-Hoc Analyses
  Tukey HSD, Dunnett, Dunn, and dependent-sample analyses via a unified factory interface.

• Visualization

  • Static plots (boxplots, bar graphs, swarm plots) with Seaborn/Matplotlib.
  • Interactive decision-tree flowchart highlighting the actual analysis path (via NetworkX & Matplotlib).

• GUI Front-End
  PyQt5 dialogs for streamlined data/variable selection, plot configuration, and advanced design setups.

• Excel Export
  Automated creation of detailed result workbooks (via XlsxWriter).

Installation

Simply download the pre-built binary for your operating system:

• Windows: Download and unpack the .zip file, start the .exe from the unpacked folder.
• macOS: Download the .app bundle (packed in a .zip).

All features are identical across both platforms.

Citation & Metadata

• Repository: https://github.com/philippkrumm/BioMedStatX
• Author: Philipp Krumm
• Contact: pkrumm@ukaachen.de
• Keywords: biomedical statistics, statistical GUI, Python data analysis, ANOVA, t-tests, post-hoc, non-parametric tests