Time Series & Survival · TOOL GUIDE

Kaplan-Meier Survival Analysis

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Understand the method. Use it with confidence.

Estimate survival function. Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

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.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Time to Event Column (Required): Select the column containing the duration (e.g., days, months).
  4. Set Event Observed Column (Required): Select the column indicating if the event occurred.
  5. Set Event Value (Required): If the event column is not numeric, specify the value that indicates an event (e.g., 'Dead').
  6. Set Group By Column (Optional) (Optional): Optional. Select a column to compare survival curves between groups.
  7. Set Significance Level (α) (Required): Controls the CI width: 1−α is the confidence level.
  8. Review optional or advanced settings and keep defaults unless your design requires a change.
  9. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

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.