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 wbc2 are

- patnr
Patient identification number

- tyears
Time of WBC measurement in years from randomization

- lwbc
Log-transformed and standardized WBC measurement, more precisely, defined as lwbc=log10(wbc)-0.95

A data frame, see `data.frame`

.

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.

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