17 · Klassische Überlebenszeitanalyse
r.R
Quelltext · R
R
R-Code: in RStudio ins Skriptfenster schreiben und mit Strg/Cmd+Enter ausführen – oder in die R-Konsole.
# Module 17 - Classic survival analysis. script <- normalizePath(sub("--file=", "", grep("--file=", commandArgs(), value = TRUE)[1])) root <- dirname(dirname(dirname(dirname(script)))) source(file.path(root, "lib", "helpers.R")) suppressPackageStartupMessages(library(survival)) # Real time-to-event columns: fu_zeit_tage (follow-up time) + status # (1 = death observed, 0 = censored). verweildauer_tage (length of stay) is # a separate, purely descriptive column and must NOT be used as survival time. df <- load_cohort() df$sepsis <- as.integer(df$aufnahmegrund == "Sepsis") cat("\n1) Kaplan-Meier\n") km <- survfit(Surv(fu_zeit_tage, status) ~ sepsis, data = df) print(summary(km, times = c(10, 20, 30))) cat("\n2) Log-rank\n") print(survdiff(Surv(fu_zeit_tage, status) ~ sepsis, data = df)) cat("\n3) Cox model\n") cox <- coxph(Surv(fu_zeit_tage, status) ~ sepsis + alter + sofa_score, data = df) print(summary(cox)$conf.int) cat("\nPH assumption check\n") print(cox.zph(cox))