msebmtcal.cmprsk: European Group for Blood and Marrow Transplantation data in...

In calibmsm: Calibration Plots for the Transition Probabilities from Multistate Models

European Group for Blood and Marrow Transplantation data in competing risks format, for transitions out of the initial state only

Description

Used in vignette/article: Comparison-with-graphical-calibration-curves-in-competing-risks-setting.

Usage

msebmtcal.cmprsk

Format

'msebmtcal.cmprsk'

A data frame with 9,116 rows and 8 columns:

id

Patient indentifier

from

transition from state

to

transition to state

trans

transition number

Tstart

time entered state 'from'

Tstop

time leaving state 'from'

time

time in state 'from'

status

event indicator, 1:transitioned to state 'to'

Details

The ebmt4 data converted into msdata format (see msprep), where all subsequent states are considered absorbing states. i.e. only transitions out of the initial state are considered, meaning this data constitutes a competing risks model out of the initial state. Code for the derivation of this dataset is provided in the source code for the package.

Source

This dataset was derived from data made available within the mstate package, see ebmt4. The data was originally provided by the European Group for Blood and Marrow Transplantation (https://www.ebmt.org/). We reiterate the source statement given by the developers of mstate: "We acknowledge the European Society for Blood and Marrow Transplantation (EBMT) for making available these data. Disclaimer: these data were simplified for the purpose of illustration of the analysis of competing risks and multi-state models and do not reflect any real life situation. No clinical conclusions should be drawn from these data."

References

EBMT (2023). “Data from the European Society for Blood and Marrow Transplantation.” URL https://search.r-project.org/CRAN/refmans/mstate/html/EBMT-data.html.

de Wreede LC, Fiocco M, Putter H (2011). “mstate: An R Package for the Analysis of Competing Risks and Multi-State Models.” Journal of Statistical Software, 38(7).

calibmsm documentation built on June 22, 2024, 9:33 a.m.