SciExpert service
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.
- • Mixed-effects models (LMM, GLMM) for longitudinal and clustered data
- • 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
How to use Statistical Modeling
Before you begin: A signed-in SciExpert account
- 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
Use the save, copy or export options available in this service. Review the output before including it in a manuscript or sharing it with collaborators.