EBMTdata: European Bone Marrow Transplantation data obtained from...

In dscoreMSM: Survival Proximity Score Matching in Multi-State Survival Model

European Bone Marrow Transplantation data obtained from mstate r package

Description

A multi state dataset

Usage

data(EBMTdata)

Format

a tibble of 13 columns and 2204 observations,

id

id value for subjects

prtime

Time in days from transplantation to platelet recovery or last follow-up

prstate

Platelet recovery status; 1 = platelet recovery, 0 = censored

rfstime

Time in days from transplantation to relapse or death or last follow-up (relapse-free survival time)

rfsstate

Relapse-free survival status; 1 = relapsed or dead, 0 = censored

dissub

Disease subclassification; factor with levels "AML", "ALL", "CML"

age

Patient age at transplant; factor with levels "<=20", "20-40", ">40"

drmatch

Donor-recipient gender match; factor with levels "No gender mismatch", "Gender mismatch"

tcd

T-cell depletion; factor with levels "No TCD", "TCD"

x1,x2,x3,x4

simulated covariate information used for SPSM

Source

We acknowledge that this data set is obtained from the r package mstate. We have included four continuous covariates in the dataset to demonstrate SPSM method in multistate survival model.

References

de Wreede, L. C., Fiocco, M., & Putter, H. (2011). mstate: an R package for the analysis of competing risks and multi-state models. Journal of statistical software, 38, 1-30.

Vishwakarma, G. K., Bhattacherjee, A., Rajbongshi, B. K., & Tripathy, A. (2024). Censored imputation of time to event outcome through survival proximity score method. Journal of Computational and Applied Mathematics, 116103;

Bhattacharjee, A., Vishwakarma, G. K., Tripathy, A., & Rajbongshi, B. K. (2024). Competing risk multistate censored data modeling by propensity score matching method. Scientific Reports, 14(1), 4368.

dscoreMSM documentation built on April 4, 2025, 12:38 a.m.