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.

Upload a file or select an Example Dataset to view between-phase effect sizes

Select metrics for between-phase comparison
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Model Specification
Random Effects


                      
Model settings changed since last fit. Results may be outdated.

Click Fit Model in the Model tab to generate results

Max R-hat
Min ESS
Bayes R-sq
LOO-IC

                        

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

R Code

                    
                  

Report
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