Tutorial · 4 min
How to use Statistical Modeling
Advanced models for complex research questions
Longitudinal, clustered and time-to-event data handled with the right model — and explained in language your committee or reviewers will follow.
Before you start
- • A signed-in SciExpert account
Steps
- 1
Open Statistical Modeling
From the workspace sidebar choose Statistical Modeling. On a phone, open the All menu and tap Statistical Modeling.
- 2
Set up your inputs
Longitudinal, clustered and time-to-event data handled with the right model — and explained in language your committee or reviewers will follow. Start with the smallest realistic input so you can check the output before scaling up.
- 3
Run it
Run the tool and check the first output: mixed-effects models (lmm, glmm) for longitudinal and clustered data.
- 4
Review what came back
Work through the results: survival analysis: kaplan-meier, cox regression, competing risks, parametric models; generalized estimating equations (gee) for repeated measures; machine learning for research: random forests, gradient boosting, svm with interpretability.
- 5
Save or export
Save the configuration as a preset if you will repeat it, and export the output when you need it outside SciExpert. Your inputs persist across refreshes and sign-ins.
Tips
- • Start with a small input, verify the output, then scale up.
- • Save a preset once the configuration works so you can reuse it across papers.
Troubleshooting
Nothing happens when I run it
Check that every required field is filled and that your plan includes this service — locked services show a padlock in the sidebar.
The output is not what I expected
Reduce the input to a single item, confirm the result is correct, then add the rest back gradually.

