https://github.com/jep9731/professional-eligibility-reports
This repository will contain R code used for determining a recent eligibility report used for alignment of goals for budget and progress reporting periods. It will also contain code for various tables and graphs used to convey the findings of the report.
https://github.com/jep9731/professional-eligibility-reports
clinical-data clinical-research graphs profressional r tables visualizations
Last synced: 12 months ago
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This repository will contain R code used for determining a recent eligibility report used for alignment of goals for budget and progress reporting periods. It will also contain code for various tables and graphs used to convey the findings of the report.
- Host: GitHub
- URL: https://github.com/jep9731/professional-eligibility-reports
- Owner: jep9731
- Created: 2025-06-11T14:06:12.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-11T16:29:28.000Z (about 1 year ago)
- Last Synced: 2025-06-11T18:02:49.854Z (about 1 year ago)
- Topics: clinical-data, clinical-research, graphs, profressional, r, tables, visualizations
- Language: R
- Homepage:
- Size: 7.81 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ✅ Imaging Core Goals Y4: Eligibility Report
This script supports the Year 4 Imaging Core goals by determining participant eligibility for PET/MRI scans based on cognitive status, demographics, and protocol adherence. The script merges clinical data with site-tracked stub visit details to monitor recruitment targets and scan completion rates.
---
## 📘 Script Summary
### 📂 `IC_goals_Y4.R`
Performs the following tasks:
- Merges REDCap export of clinical data with stub visit information
- Flags participants who are eligible, pending, or ineligible
- Outputs summary tables by eligibility status and visit phase
- Supports internal PET/MRI tracking reports
---
## 📁 Required Data Files (Internal Access Only)
> 🔒 These files are located in a **shared lab directory**. To run the script, place them in a local `data/` folder.
| Filename | Description |
|---------------------------------------------------------------------------|-------------------------------------------------|
| `AlzheimersDiseaseRes-StubDetails_DATA_2024-06-28_1029.csv` | Demographic information |
| `2024-06-28T15_28_21.921Z_clinical_core_export.csv` | Clinical Core REDCap export with key fields |
---
## ▶️ How to Run
1. Ensure both data files are placed in a `data/` folder at the root of the repository.
2. Open the R script in RStudio: `IC_goals_Y4.R`
3. Install the necessary R packages (if not already):
```r
install.packages(c("readr", "dplyr", "stringr", "lubridate"))
```