Survival Analysis In Machine Learning

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Survival Analysis

Survival analysis corresponds to a set of statistical approaches used to investigate the time it takes for an event of interest to occur.

Survival analysis is used in a variety of field such as:

  • Cancer studies for patients survival time analyses,

  • Sociology for “event-history analysis”,

  • and in engineering for “failure-time analysis”.

Survival analysis in R

Install and load required R package

We’ll use two R packages:

  • survival for computing survival analyses

  • survminer for summarizing and visualizing the results of survival analysis

  • Install the packages

install.packages(c("survival", "survminer"))

Load the packages

  • library("survival")

  • library("survminer")

Survival analysis Techniques

  • Life tables

  • Kaplan-Meier analysis

  • Survivor and hazard function rates

  • Cox proportional hazards regression analysis

  • Parametric survival analytic models

  • Survival trees

  • Survival random forest