cutLMms: Cut a multi-state data set at a landmark time point
In mstate: Data Preparation, Estimation and Prediction in Multi-State Models

Description Usage Arguments Details Value Author(s) References Examples

Given a dataset in long format, for instance generated by msprep, this function cuts a multi-state data frame (object of type "msdata") at a landmark time point LM. Administrative censoring can be applied at time cens, equal for all individuals.

1	cutLMms(msdata, LM, cens)

`msdata`	An object of class `"msdata"`, such as output by `msprep`
`LM`	The landmark time point at which the cut is to be made
`cens`	The time point at which administrative censoring is to be applied; if missing, no administrative censoring will be applied

The function has a similar purpose as the cutLM function in the dynpred package. Only follow-up after a landmark time point LM is considered, so all subjects who are no longer at risk are removed. Column time is updated based on the new Tstart and Tstop.

An object of class "msdata" again, containing only follow-up data after LM. The data frame contains an extra column Tentry with the time of entry into the present state.

Hein Putter H.Putter@lumc.nl

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

tmat <- trans.illdeath(names=c("Tx","PR","RelDeath"))
data(ebmt3) # data from Section 4 of Putter, Fiocco & Geskus (2007)
msebmt <- msprep(time=c(NA,"prtime","rfstime"),status=c(NA,"prstat","rfsstat"),
		data=ebmt3,trans=tmat)
# Cut at 5 years
cutLMms(msebmt, LM=1826)
events(cutLMms(msebmt, LM=1826))