Seminar
Jianxin Pan
"Joint modelling for longitudinal, survival and
cure data in tumour xenograft experiments
"
In tumour xenograft experiments, several treatment regimens are
administered and tumour volume for each individual is measured repeatedly
over time. When modelling such data, certain constraints are imposed on
regression parameters to account for intrinsic growth of tumour in the
absence of treatment. On the other hand, survival data and cure data are
observed due to a portion of individuals who may be curved and so never
experience the event. In this talk, we will discuss how to jointly model
the longitudinal, survival and cure data in order to account for the
possible association of those data. Simulation studies show that the
proposed joint modelling approach does improve the separate modelling
methods. Real data analysis and various comparisons will be presented.
