Upload a file or select an Example Dataset to get started
Upload a file or select an Example Dataset to view variables
Continuous Variables
Categorical Variables
Upload a file or select an Example Dataset to view features
Case-Level Features
Key Feature Distributions
Upload a file or select an Example Dataset to view plots
Upload a file or select an Example Dataset to view within-phase patterns
Upload a file or select an Example Dataset to view baseline trend tests
The piecewise model includes baseline trend as a covariate, accounting for any pre-existing trend. A non-significant slope indicates stable baseline. No data exclusion is needed for trending baselines.
Click Fit Model in the Model tab to generate results
Upload data to view the processed piecewise regression variables
Coded and centered variables used in the model. Level = immediate change; Trend = slope change.
Click Fit Model in the Model tab to view fixed effects
Click Fit Model to run hypothesis tests
Click Fit Model in the Model tab to view random effects
Click Fit Model in the Model tab to view effect sizes
Posterior-Based Effect Sizes
Overall End-of-Phase Effect Sizes
Per-Case Effect Sizes
Click Fit Model to assess consistency of effects
Click Fit Model in the Model tab to view diagnostics
Click Fit Model in the Model tab to compare models
Sensitivity Analysis
Sequential Bayesian Updating
Refit the model adding one case at a time to track how the effect estimate stabilizes.
Click Fit Model in the Model tab to run power simulations
No Multi-Study Data
Meta-analysis requires a 'study' column with 2 or more studies. Load a multi-study dataset or assign a study role in the Data tab.
Click Fit Model in the Model tab to view the forest plot
Click Fit Model in the Model tab to view the funnel plot
Click Fit Model in the Model tab to view heterogeneity results
Click Fit Model in the Model tab to view publication bias results
Load data and click Fit Model to export results