The ClinicoPathJamoviModule is a comprehensive open-source toolkit for streamlining clinicopathological research. It provides an integrated suite of statistical tools, visualization methods, and reporting functions tailored for pathology, clinical research, and medical decision-making.
- Descriptive Statistics: Generation of publication-ready summary tables (
Table 1). - Survival Analysis: Tools for Kaplan-Meier estimation, log-rank tests, and Cox proportional hazards models.
- Diagnostic Accuracy: Evaluation of diagnostic tests using ROC curve analysis, decision curve analysis (DCA), and screening test calculators.
- Agreement and Reliability: Assessment of inter-rater reliability using statistics such as Cohen’s Kappa and the Intraclass Correlation Coefficient (ICC).
- Data Visualization: A collection of advanced plotting tools, including waterfall plots, swimmer plots, raincloud plots, and advanced bar plots.
- Data Preprocessing: Utilities for data quality checking, management of missing data, and date corrections.
For detailed installation instructions, please see the INSTALL.md file.
To get started with the ClinicoPathJamoviModule, please see our comprehensive "Getting Started" guide, which provides a step-by-step tutorial.
Contributions are welcome! Please see the CONTRIBUTING.md file for guidelines on how to contribute to the project.
This module was made possible by the codes, help, and guidance of the R and jamovi communities. For a full list of acknowledgements, please see the DESCRIPTION file.
