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:
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Cancer studies for patients survival time analyses,
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Sociology for “event-history analysis”,
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and in engineering for “failure-time analysis”.
Survival analysis in R
Install and load required R package
We’ll use two R packages:
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survival for computing survival analyses
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survminer for summarizing and visualizing the results of survival analysis
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Install the packages
install.packages(c("survival", "survminer"))
Load the packages
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library("survival")
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library("survminer")
Survival analysis Techniques
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Life tables
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Kaplan-Meier analysis
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Survivor and hazard function rates
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Cox proportional hazards regression analysis
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Parametric survival analytic models
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Survival trees
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Survival random forest