cutLMms | R Documentation |

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.

```
cutLMms(msdata, LM, cens)
```

`msdata` |
An object of class |

`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))
```

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