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Kaplan-Meier survival analysis

Analyze survival data with Kaplan-Meier curves, supporting event tracking, censored observations, group comparisons, and interactive visualizations.

What's included​

Survival curve visualization​

Kaplan-Meier survival curves

  • Step function curves show survival probability over time
  • Tick marks indicate subjects who left the study without experiencing the event
  • Filter by time period to focus on specific study phases
  • Hover over curves to see detailed statistics at each time point

Group comparisons​

Group comparison

  • Compare survival across multiple groups with color-coded curves
  • Use filters to define groups
  • Legend and tooltips identify each group

Event and censoring logic​

  • Set event conditions for what you're tracking (e.g., death, disease progression)
  • Set censoring conditions for subjects who exit the study early
  • Use flexible filters to define complex criteria
  • Data not matching either condition is excluded

Multi-panel plots​

Faceted survival plots

  • View multiple survival curves side-by-side in a grid
  • Split data by categories for easier comparison

Interactive tooltips​

Hover over any point to see:

  • Time value and date
  • Survival probability
  • Subjects at risk
  • Events occurred
  • Subjects censored
  • Group name (when comparing groups)

Notes​

  • New beta feature - behavior may change based on feedback
  • Large datasets are limited to 5000 data points for performance