Read-only sample study. A complete walkthrough — from problem statement to a validated report — using radiology_icc.csv (60 rows × 4 cols). Sign in to run your own.
Sample study · descriptive design
Radiologist Agreement on Lung-Nodule Severity
Research information
Statement of the problem
This inter-rater reliability study evaluates whether three radiologists rating 60 CT images on a continuous 0-10 nodule-severity scale produce measurements consistent enough to be pooled or used interchangeably.
Objectives
- To describe the rater_1, rater_2, and rater_3 severity scores across the 60 images.
- To assess the inter-rater agreement between rater_1, rater_2, and rater_3.
Dataset
radiology_icc.csv60 rows × 4 cols
| Column | Kind | Missing | Distinct |
|---|---|---|---|
| image_id | text | 0 | 60 |
| rater_1 | numeric | 0 | 40 |
| rater_2 | numeric | 0 | 47 |
| rater_3 | numeric | 0 | 51 |
Feasibility & estimateFree
✓ Feasibledesign: descriptive · via heuristic
Detected a descriptive design with 3 analyzable variable(s) and 2 analytical question(s). Recommended 2 statistical test(s). Estimated cost: 28 credits.
Recommended analysis
To describe the rater_1, rater_2, and rater_3 severity scores across the 60 images.
Descriptive Statistics(rater_1, rater_2, rater_3)
To assess the inter-rater agreement between rater_1, rater_2, and rater_3.
Intraclass Correlation (ICC)(rater_1, rater_2, rater_3)
Dataset Complexity9
Statistical Tests6
AI Interpretation6
Visualizations2
Report Generation5
Total to run28 credits
Estimated runtime: ~40-80 seconds
ResultsComputed
2 tests28 credits
Descriptive Statistics (rater_1, rater_2, rater_3)
| n | max | min | std | mean | mode | range | median | variable | variance |
|---|---|---|---|---|---|---|---|---|---|
| 60 | 9.700 | 1.500 | 2.472 | 5.168 | 1.900 | 8.200 | 5.150 | rater_1 | 6.112 |
| 60 | 9.700 | 0 | 2.469 | 4.898 | 1.500 | 9.700 | 4.750 | rater_2 | 6.096 |
| 60 | 10 | 1 | 2.450 | 5.190 | 6.500 | 9 | 5.100 | rater_3 | 6.002 |
Intraclass Correlation (ICC) (rater_1, rater_2, rater_3)
significantdf₁59df₂118N60p< .001
ICC(2,1)0.941
large
Inter-rater reliability (ICC) is excellent (ICC = 0.941).
Report
Publication-ready report
Tests used · Results · Discussion — generated from the computed statistics.
Every claim checked · 16 numbers verified · 1 findings cross-checked · prose: llm:gemini
Reproducible code
Download the exact Jupyter notebook or Python script that reproduces these results with widely-used libraries (scipy, statsmodels, lifelines).
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