When to use it
Use this tool when the question requires multivariate structure, segmentation, simulation, causal-design assumptions, or model explainability.
Use it only when the selected variables and study design match the method's requirements.
How to use it
- Open the tool from the Qantly Tools panel.
- Confirm the active dataset and analysis session.
- Set Exposure Column (Required): Binary exposure or treatment column.
- Set Exposed Label (Required): Value in the exposure column that means exposed or treated.
- Set Outcome Column (Required): Binary outcome column.
- Set Outcome Positive Label (Required): Value in the outcome column that means the event occurred.
- Set Stratification Column (Optional) (Optional): Optional subgroup column for Mantel-Haenszel style stratified summaries.
- Set Significance Level (alpha) (Required): Controls the confidence interval width.
- Review optional or advanced settings and keep defaults unless your design requires a change.
- Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
How to interpret results
Interpret results in the context of preprocessing, tuning choices, stability, validation, and domain knowledge. Complex outputs are sensitive to assumptions and should be checked with alternative specifications.