joymnyaga / Time-to-Event-Analysis

A survival analysis project that uses the Kaplan-Meier Estimate to predict the probability of survival of cancer patients after an operation

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Survival-Analysis

A survival analysis project that uses the Kaplan-Meier Estimate to predict the probability of survival of cancer patients after an operation

Data Attributes

  1. Age of patient at time of operation (numerical)
  2. Patient's year of operation (year - 1900, numerical)
  3. Number of positive axillary nodes detected (numerical)
  4. Survival status (class attribute) -- 1 = the patient survived 5 years or longer -- 2 = the patient died within 5 year

Source

Tjen-Sien Lim (limt '@' stat.wisc.edu)

About

A survival analysis project that uses the Kaplan-Meier Estimate to predict the probability of survival of cancer patients after an operation


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Language:Python 100.0%