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. 1

    Open Statistical Modeling

    From the workspace sidebar choose Statistical Modeling. On a phone, open the All menu and tap Statistical Modeling.

  2. 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. 3

    Run it

    Run the tool and check the first output: mixed-effects models (lmm, glmm) for longitudinal and clustered data.

  4. 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. 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.

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