lfs.pest {currentSurvival}

Estimates Common Leukaemia-Free Survival (LFS) Function

Description

This is an internal function and is not usually called by user.
This function estimates the common leukaemia-free survival (LFS) function, i.e. the probability that a patient is alive and in the first disease remission after achieving the first disease remission. Only patients who achieved at least one disease remission during their treatment course are used for the estimation of the LFS function.

Usage

lfs.pest(t, LastContact, Exitus, maxx)

Arguments

t

a vector containing the time from achievement of the first disease remission to loss of the first disease remission (in days)

LastContact

a vector containing the follow-up time (time from achievement of the first disease remission to death or to the date of last contact with a patient)

Exitus

a vector containing the censoring indicators (1..patient died, 0..patient is censored)

maxx

maximum follow-up time in days

Value

a list containing the following elements:

x

days from 0 to maximum follow-up time maxx

y

LFS function estimates at each day

Author(s)

Eva Janousova, Tomas Pavlik
Institute of Biostatistics and Analyses
Masaryk University, Brno, Czech Republic
[e-mail]

References

Pavlik T., Janousova E., Pospisil Z., et al. (2011). Estimation of current cumulative incidence of leukaemia-free patients and current leukaemia-free survival in chronic myeloid leukaemia in the era of modern pharmacotherapy. BMC Med Res Methodol 11:140.

See Also

clfs

Examples

# This is an internal function and is not usually called by user.