When to use it
Use this tool for ordered observations, forecasting, or time-to-event outcomes where timing and censoring matter.
Use it only when the selected variables and study design match the method's requirements.
How to use it
- Open the tool from the Quantly Tools panel.
- Confirm the active dataset and analysis session.
- Set Time to Event Column (Required): Select the column with duration data.
- Set Event Observed Column (Required): Select the column indicating if the event occurred.
- Set Event Value (Required): Value indicating an event if the event column is text (e.g., 'Dead').
- Set Covariates (Required): Select columns to include as predictors in the model.
- Set Strata Column (Optional) (Optional): Stratify by this column to allow non-proportional hazards between groups.
- Set Categorical Encoding (Required): Method for encoding categorical covariates.
- Set Significance Level (α) (Required): Controls the confidence interval width (1-α).
- Set Penalizer (L2 Regularization) (Optional): Add a small penalty to handle collinearity, especially with one-hot encoding. Try 0.01 to start.
- Set Generate Assumption Plots (Optional): Generate plots to visually check the proportional hazard assumption. This can be slow.
- 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
Review time order, stationarity or proportional-hazards assumptions, uncertainty intervals, censoring, and validation over later periods. Forecasts and survival estimates become less certain farther from observed data.