Read-only sample study. A complete walkthrough — from problem statement to a validated report — using diagnostic_paired.csv (200 rows × 3 cols). Sign in to run your own.
Sample study · correlational design
Rapid Diagnostic Test vs Standard: Paired Concordance
Research information
Statement of the problem
This diagnostic-accuracy study evaluates a new rapid test against the standard test on the same 200 patients, comparing the paired positivity outcomes to quantify concordance and disagreement between the two methods.
Objectives
- To describe the frequency of standard_test and new_test positive results across the 200 patients.
- To determine the association between standard_test and new_test results across the patients.
Dataset
diagnostic_paired.csv200 rows × 3 cols
| Column | Kind | Missing | Distinct |
|---|---|---|---|
| patient_id | text | 0 | 200 |
| standard_test | numeric | 0 | 2 |
| new_test | numeric | 0 | 2 |
Feasibility & estimateFree
✓ Feasibledesign: correlational · via heuristic
Detected a correlational design with 2 analyzable variable(s) and 2 analytical question(s). Recommended 2 statistical test(s). Estimated cost: 29 credits.
Recommended analysis
To describe the frequency of standard_test and new_test positive results across the 200 patients.
Frequency & Percentage Distribution(standard_test, new_test)
To determine the association between standard_test and new_test results across the patients.
Chi-Square Test of Independence(standard_test, new_test)
Dataset Complexity8
Statistical Tests6
AI Interpretation6
Visualizations4
Report Generation5
Total to run29 credits
Estimated runtime: ~40-80 seconds
ResultsComputed
2 tests29 credits
Frequency & Percentage Distribution (standard_test, new_test)
Chi-Square Test of Independence (standard_test, new_test)
significantχ²53.88df1N200p< .001
Cramér's V0.519
large
| 0 | 1 | row |
|---|---|---|
| 126 | 25 | 0 |
| 13 | 36 | 1 |
The result is statistically significant (p = 0.0000 < 0.05).
Report
Publication-ready report
Tests used · Results · Discussion — generated from the computed statistics.
Every claim checked · 13 numbers verified · 4 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).
Run your own study
Bring your problem statement, objectives, and a dataset — thericerca does the rest.
Get started →