N of 1 Causal Analysis Engine

Step 1

Create your causal DAG

Build the causal structure, configure variables, and choose the history window before running an analysis.

Number of days

Select a variable to configure.

Start here: define what this variable is, where it comes from, and when it is measured.

Variable name Simulated variable Role Lag days

PANAS Score (t-1) t-1 Covariate

Sleep t-1 Exposure (Independent)

Steps t-1 Covariate

PANAS Score t Outcome (Dependent)

Step 2

Choose the causal method, run the model, and review the effect estimates and plots.

Define the Outcome (Dependent), Exposure (Independent), relevant history, and covariates.

Causal inference method Already selected for this demo. Change only if you want a specific causal estimator.

Starting the analysis workflow.

Fetch history Build variables Estimate effects Check positivity Build plots Build diagnostics Validate outputs Format report Render results

Run the model from the setup panel to load the setup summary and prediction-over-time chart here.