Abstract:
Panel count data refer to the data arising from studies concerning recurrent events
where study subjects are observed only at distinct time points. If these study subjects
are exposed to recurrent events of several types, we obtain panel count data with multiple
modes of recurrence. In the present paper, we propose a nonparametric test to compare
cause specific rate functions of panel count data with more than one mode of recurrence.
We carry out simulation studies to evaluate the performance of the test statistic in a finite
sample setup. The proposed test is illustrated using two real-life panel count data sets, one
arising from a medical follow-up study on skin cancer chemo prevention trial and the other
on a warranty database for a fleet of automobiles.
