Clinical Data Lab · by Jaime Yan

Clinical questions.
Inspectable answers.

Follow the evidence from a clinical question to a result you can explore, reproduce and check.

07 connected case studiesR + Python independently executedCDISC Pilot public test data

One study. Seven perspectives.

Start anywhere. Every case includes data, code, results, methods and QC.

01 / Population

Who entered the study?

Read the starting point before reading the treatment effect.

Explore case →
02 / Retention

Where did participants leave?

A reconciled study flow, with reasons behind the losses.

Explore case →
03 / Repeated measures

How did cognition change?

Observed ADAS-Cog trajectories, with the changing sample size in view.

Explore case →
04 / Safety

What safety signals emerge?

Subject incidence and event frequency, kept deliberately distinct.

Explore case →
05 / Safety

Did ALT shift out of range?

A baseline-to-end-of-treatment shift table with an explicit paired denominator.

Explore case →
06 / Exploration

How stable is the contrast?

Unadjusted Week 24 contrasts that show their uncertainty.

Explore case →
07 / Time to event

When did the first event occur?

Kaplan–Meier event-free curves, censor marks and numbers at risk.

Explore case →

Clinical Figure Library

Explore the craft behind the figure.

Six foundational figures and five analysis cases, including individual missingness patterns and baseline-adjusted comparisons. Independent R/Python, reusable source and vector exports. These fictional teaching data are separate from the CDISC Pilot cases above.

Open all figure templates →

Choose a learning path

Radar profile preview — explore the reusable figure template