THE QUESTIONS
Sound familiar?
The recurring analytical questions in your field — and the methods that answer them.
How long until an event — and what changes the risk?
Binary outcomes, odds ratios, and confounders.
Repeated measures on the same patients over time.
How well does a test discriminate disease?
METHODS THAT FIT
The analyses your work runs on.
Drawn straight from the Statistical & Model Lab catalog — every method with assumption checks and plain-language interpretation.
Survival analysis
Model time until an event, with censoring.
Outcome modeling
Predict binary, count, and continuous outcomes.
Diagnostics & comparison
Accuracy, group differences, and reliability.
Evidence synthesis
Pool findings and plan sample size.
SURVEY LAB
Collect the data too.
Design, distribute, and analyze surveys — the results flow straight into the same analysis engine.
HOW IT WORKS
From data to decision in four steps.
The same guided flow for every method — no coding, no guesswork.
Bring your data
Drop in CSV or Excel, or pull from a public dataset. Types are auto-detected.
Pick the method
Describe your question — the AI recommends fitting methods straight from the catalog.
Run with checks
Assumptions are validated before every run, with plain-language explanations.
Report & export
Get a publication-ready report with R / Python code and APA tables.
EXPLORE THE LABS
Where the work gets done.
Each lab is purpose-built for a different type of analysis — same interface, different lens.
Bring your data. Get answers.
A publication-ready report in minutes — with reasoning, R/Python code, and an AI tutor.