clfs.pest {currentSurvival} | R Documentation |
Estimates Current Leukaemia-Free Survival (CLFS) Function
Description
This is an internal function and is not usually called by user.
This function estimates the current leukaemia-free survival (CLFS) function, i.e. the probability that a patient is alive and in any 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 CLFS function.
Usage
clfs.pest(E, LastContact, Exitus, maxx)
Arguments
E |
a matrix with ascending times from achievement of the first disease remission to occurrence of individual events (in days); the size of the data matrix is n times (2*r-1), where n is the number of patients and r is the maximum number of disease remissions achieved by patients; the data matrix consists of the following columns: |
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 |
CLFS function estimates at each day |
Author(s)
Eva Janousova, Tomas Pavlik
Institute of Biostatistics and Analyses
Masaryk University, Brno, Czech Republic
janousova@iba.muni.cz
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
Examples
# This is an internal function and is not usually called by user.