Model-based recursive partitioning for discrete event times. (arXiv:2209.06592v1 [stat.ME])

Model-based recursive partitioning (MOB) is a semi-parametric statistical
approach allowing the identification of subgroups that can be combined with a
broad range of outcome measures including continuous time-to-event outcomes.
When time is measured on a discrete scale, methods and models need to account
for this discreetness as otherwise subgroups might be spurious and effects
biased. The test underlying the splitting criterion of MOB, the M-fluctuation
test, assumes independent observations. However, for fitting discrete
time-to-event models the data matrix has to …

arxiv event partitioning recursive