StratumClinical trial dataset
A two-arm trial with baseline and 12-week scores — purpose-built for two-sample comparisons and effect sizes.
You have the data. Here is the app that opens it. Drag the CSV in and Stratum types every column as it lands — then run the analysis this page describes, with no setup.
Try Stratum freeAt a glance
- Rows
- 220 patients
- Columns
- 10 (5 numeric, 4 categorical, 1 ID)
- Format
- CSV (UTF-8, comma-delimited, header row)
- Size
- ~11 KB
- License
- CC0 1.0 — public domain, synthetic data
- Best for
- Two-sample t-test · effect size · paired pre/post
Columns
| Column | Type | Description |
|---|---|---|
PatientID | ID | Unique patient identifier (e.g. P182). |
Group | Categorical | Treatment or Control arm. |
Sex | Categorical | Patient sex (F/M). |
AgeYears | Integer | Age in years. |
Site | Categorical | Trial site (Site-1…). |
BaselineScore | Numeric | Score at enrollment. |
Week12Score | Numeric | Score at 12 weeks. |
ChangeFromBaseline | Numeric | Week12 − Baseline. |
Biomarker_ng_mL | Numeric | Biomarker concentration, ng/mL. |
Responder | Categorical | Yes/No clinical responder. |
Things to try
- Compare the two arms. Test
ChangeFromBaselinefor Treatment vs Control with a two-sample test. → Two-sample comparison lesson - Read the result. Interpret the p-value and the effect size — or use the effect size calculator.
- Cross-tabulate. Build a contingency table of
Group×Responderto see who responded. - Check normality. Use a Q-Q plot to see whether the scores are roughly normal. → Q-Q plots & normality lesson
How to open it. Download the CSV, then drag it onto Stratum (or use File ▸ Import). Columns are typed automatically — numbers, the date, and the categories all detected — so you're charting within seconds. Get Stratum →
See also
- More data
- Survey Responses · Housing Market
- Learn
- Two-sample comparison lesson · Statistics glossary