R: Bone Marrow Transplant

BMT {survminer} | R Documentation

## Bone Marrow Transplant

### Description

Bone marrow transplant data from L Scrucca et aL., Bone Marrow Transplantation (2007). Data from 35 patients with acute leukaemia who underwent HSCT. Used for competing risk analysis.

### Usage

    data("BMT")

### Format

A data frame with 35 rows and 3 columns.

    - dis: disease; 0 = ALL; 1 = AML
    - ftime: follow-up time
    - status: 0 = censored (survival); 1 = Transplant-related mortality; 2 = relapse

### References

Scrucca L, Santucci A, Aversa F. Competing risk analysis using R: an easy guide for clinicians. Bone Marrow Transplant. 2007 Aug;40(4):381-7.

### Examples

    data(BMT)

    # Data preparaion
    #+++++++++++++++++++++
    # Label diseases
    BMT$dis <- factor(BMT$dis, levels = c(0,1),
       labels = c("ALL", "AML"))
    # Label status
    BMT$status <- factor(BMT$status, levels = c(0,1,2),
      labels = c("Censored","Mortality","Relapse"))

    # Cumulative Incidence Function
    # ++++++++++++++++++++++++++
    fit <- cmprsk::cuminc(
      ftime = BMT$ftime,      # Failure time variable
      fstatus = BMT$status,   # Codes for different causes of failure
      group = BMT$dis         # Estimates will calculated within groups
     )

    # Visualize
    # +++++++++++++++++++++++
    ggcompetingrisks(fit)
    ggcompetingrisks(fit, multiple_panels = FALSE,
      legend = "right")

[Package survminer version 0.4.1 Index]