WBC-follow-up-data: Data from the Benelux CML study

In dynpred: Companion Package to "Dynamic Prediction in Clinical Survival Analysis"

Description

A data frame of 210 patients with Chronic Myeloid Leukemia from the Benelux CML study (Kluin-Nelemans et al. 1998). Data have been used in two methodological papers, de Bruijne et al. (2001) and van Houwelingen (2007), and in the book van Houwelingen \& Putter (2011), especially Chapter 8. More background is given in Appendix A.2 of van Houwelingen \& Putter (2011). Interest is in the time-dependent covariate White Blood Cell count (WBC). Data set wbc1 contains the follow-up data and time-fixed covariates, while wbc2 contains the WBC measurements. The included variables in wbc1 are

patnr

Patient identification number

tyears

Time in years from randomization to death or last follow-up

d

Survival status; 1 = dead, 0 = censored

sokal

Clinical index based on spleen size, percentage of circulating blasts, platelet and age at diagnosis

age

Age at diagnosis

Format

A data frame, see data.frame.

References

Kluin-Nelemans JC, Delannoy A, Louwagie A, le Cessie S, Hermans J, van der Burgh JF, Hagemeijer AM, van den Berghe H \& Benelux CML Study Group (1998). Randomized study on hydroxyurea alone versus hydroxyurea combined with low-dose interferon-alpha 2b for chronic myeloid leukemia. Blood 91, 2713–2721.

de Bruijne MHJ, le Cessie S, Kluin-Nelemans HC \& van Houwelingen HC (2001). On the use of Cox regression in the presence of an irregularly observed time-dependent covariate. Statistics in Medicine 20, 3817–3829.

van Houwelingen HC (2007). Dynamic prediction by landmarking in event history analysis. Scandinavian Journal of Statistics 34, 70–85.

van Houwelingen HC, Putter H (2012). Dynamic Predicting in Clinical Survival Analysis. Chapman \& Hall.

dynpred documentation built on May 2, 2019, 5:07 a.m.