tps100: Predicted transition probabilities out of every state made at...

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

Predicted transition probabilities out of every state made at time s = 100

Description

Data frame containing the predicted transition probabilities out of states 1 (transplant), 2 (adverse event), 3 (recovery) and 4 (adverse event + recovery), made at time s = 100. The predicted transition probabilities were estimated by fitting a multistate model to the ebmt4 data using a leave-one-out approach. Code for deriving this dataset is provided in the source code for calibmsm. Code for derivation of this dataset is provided in the source code for the package.

Usage

tps100

Format

'tps100'

A data frame with 13,674 (CHANGE) rows and 14 columns:

id

Patient indentifier

pstate1, pstate2, pstate3, pstate4, pstate5, pstate6

Predicted transition probabilities of transitions into states 1 to 6

se1, se2, se3, se4, se5, se6

Standard error of the predicted transition probabilities of transitions into states 1 to 6

j

State from which the predicted transition probabilities are estimated from

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.