Survival analysis based on ovarian data set

R Types of survival analysis in
There are two main methods of survival analysis ：

Kaplan-Meier Method and Log Rank Test： This method can use the function survfit()​​ To achieve ,plot()​​ Used to draw living objects . function ggsurvplot()​​ It can also be used to draw survfit The object of .

Cox Proportional Hazards Models coxph()： This function is used to get the living object ,ggforest() Graphics for drawing living objects .

To get the package , We use library() Function to import them .

library(“survival”)
library(“survminer”)

Let's load the dataset and check its structure . For survival analysis , We will use the ovarian data set . To load a dataset , We use R Medium data() function .

data(“ovarian”)

The ovarian data set includes patients with ovarian cancer and their respective clinical information . It also includes tracking the patient until their death or loss of follow-up 、 Is the patient being reviewed 、 Patient age 、 Treatment group assignment 、 The presence of residual disease and physical condition .

To check the data set , Let's carry out head(ovarian), It returns the first six rows of the dataset .