Why do we need special methods for time-to-event data?

Analisi di sopravvivenza in R

Heidi Seibold

Statistician at LMU Munich

Why survival analysis

  • Times are always positive
  • Different measures are of interest
  • Censoring almost always an issue
Analisi di sopravvivenza in R

Why survival analysis

  • Times are always positive
  • Different measures are of interest
  • Censoring almost always an issue

Analisi di sopravvivenza in R

Why survival analysis

  • Times are always positive
  • Different measures are of interest
  • Censoring almost always an issue

Analisi di sopravvivenza in R

Creating Surv objects

time <- c(5, 6, 2, 4, 4)
event <- c(1, 0, 0, 1, 1)

library("survival")
Surv(time, event)
Analisi di sopravvivenza in R

R packages

For all kinds of analyses:

library("survival")

For pretty visualisations:

library("survminer")

For more, see CRAN Task View: Survival Analysis

Analisi di sopravvivenza in R

Let's practice!

Analisi di sopravvivenza in R

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