## Installation in jamovi
### Option 1: jamovi Library (Recommended)
1. Open jamovi
2. Click on the **+** button in the top-right corner
3. Select **jamovi library**
4. Search for "ClinicoPath" or "jsurvival"
5. Click **Install**
### Option 2: Manual Installation
1. Download the latest `.jmo` file from [releases](https://github.com/sbalci/jsurvival/releases)
2. Open jamovi
3. Click **+** → **Sideload** → Select the `.jmo` file
## Installation as R Package
### From GitHub (Development Version)
```r
# Install devtools if you haven't already
install.packages("devtools")
# Install jsurvival
devtools::install_github("sbalci/jsurvival")
This package requires R ≥ 4.1.0 and depends on: - survival, survminer, finalfit - ggplot2, dplyr, tidyr - jmvcore, R6
## Feature Highlights
### Analysis Types Available
```markdown
## 📊 Available Analyses
| Analysis | Description | Use Case |
|----------|-------------|----------|
| **Single Arm Survival** | Overall survival for entire cohort | Population-level survival estimates |
| **Survival Analysis** | Univariate Cox regression & Kaplan-Meier | Group comparisons, risk factors |
| **Continuous Variable Survival** | Cut-off analysis for continuous predictors | Biomarker threshold analysis |
| **Multivariable Survival** | Adjusted Cox regression models | Multiple risk factors |
| **Odds Ratio Analysis** | Binary outcome analysis | Case-control studies |
| **Time Interval Calculator** | Calculate time differences | Data preparation |
## 🎯 Key Features
- **📈 Kaplan-Meier Curves** with risk tables and confidence intervals
- **📊 Survival Tables** with 1, 3, 5-year survival rates
- **🔢 Natural Language Summaries** of results
- **📋 Hazard Ratio Tables** with confidence intervals
- **⚕️ Clinical Research Focus** designed for medical studies
- **🌐 Multi-language Support** (English, Turkish, German)
## 🚀 Quick Start Example
### In jamovi:
1. Load your survival data
2. Go to **Survival** → **ClinicoPath Survival** → **Survival Analysis**
3. Set **Time Elapsed** variable (time to event)
4. Set **Explanatory** variable (grouping factor)
5. Set **Outcome** variable (event indicator)
6. Click **Run**
### Sample Output:
- Median survival times with 95% CI
- Log-rank test p-values
- Hazard ratios with confidence intervals
- Kaplan-Meier survival curves
- Risk tables at specified time points
## 📝 Citation
If you use jsurvival in your research, please cite:
Balci, S. (2024). jsurvival: Survival Module of ClinicoPath for jamovi. R package version 0.0.3.21. https://github.com/sbalci/jsurvival
**BibTeX:**
```bibtex
@Manual{jsurvival,
title = {jsurvival: Survival Module of ClinicoPath for jamovi},
author = {Serdar Balci},
year = {2024},
note = {R package version 0.0.3.21},
url = {https://github.com/sbalci/jsurvival},
}
## Related Projects Widget
```markdown
## 🔗 Related Projects
| Project | Description | Link |
|---------|-------------|------|
| **ClinicoPath** | Main jamovi module suite | [](https://github.com/sbalci/ClinicoPathJamoviModule) |
| **jamovi** | Statistical software platform | [](https://www.jamovi.org) |
| **Survival Analysis Tutorial** | Learn survival analysis | [](https://www.emilyzabor.com/tutorials/survival_analysis_in_r_tutorial.html) |
## 💬 Support & Community
- 🐛 **Report Issues**: [GitHub Issues](https://github.com/sbalci/ClinicoPathJamoviModule/issues/)
- 📧 **Contact**: serdarbalci@serdarbalci.com
- 🌐 **Website**: [ClinicoPath Documentation](https://sbalci.github.io/ClinicoPathJamoviModule/)
- 📖 **Package Documentation**: [jsurvival docs](https://www.serdarbalci.com/jsurvival/)
[](https://orcid.org/0000-0002-7852-3851)
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