Title of article :
The definition of start time in cancer treatment studies analysed by non-mixture cure models
Author/Authors :
Claire L. Weston & John R. Thompson، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Abstract :
Non-mixture cure models are derived from a simplified representation of the biological process that takes
place after treatment for cancer. These models are intended to represent the time from the end of treatment
to the time of first recurrence of the cancer in studies when a proportion of those treated are completely
cured. However, for many studies, other start times are more relevant. In a clinical trial, it may be more
natural to model the time from randomisation rather than the time from the end of treatment and in an
epidemiological study, the time from diagnosis might be more meaningful. Some simulations and two real
studies of childhood cancer are presented to show that starting from time of diagnosis or randomisation can
affect the estimates of the cure fraction. The susceptibility of different parametric kernels to errors caused
by using start times other than the end of treatment is also assessed. Analysing failures on treatment and
relapse after completing the treatment as two processes offers a simple way of overcoming many of these
problems.
Keywords :
non-mixture cure model , parametric survival , Paediatric cancer
Journal title :
JOURNAL OF APPLIED STATISTICS
Journal title :
JOURNAL OF APPLIED STATISTICS