xhaz - Excess Hazard Modelling Considering Inappropriate Mortality
Rates
Fits relative survival regression models with or without
proportional excess hazards and with the additional possibility
to correct for background mortality by one or more
parameter(s). These models are relevant when the observed
mortality in the studied group is not comparable to that of the
general population or in population-based studies where the
available life tables used for net survival estimation are
insufficiently stratified. In the latter case, the proposed
model by Touraine et al. (2020) <doi:10.1177/0962280218823234>
can be used. The user can also fit a model that relaxes the
proportional expected hazards assumption considered in the
Touraine et al. excess hazard model. This extension was
proposed by Mba et al. (2020) <doi:10.1186/s12874-020-01139-z>
to allow non-proportional effects of the additional variable on
the general population mortality. In non-population-based
studies, researchers can identify non-comparability source of
bias in terms of expected mortality of selected individuals. An
excess hazard model correcting this selection bias is presented
in Goungounga et al. (2019) <doi:10.1186/s12874-019-0747-3>.
This class of model with a random effect at the cluster level
on excess hazard is presented in Goungounga et al. (2023)
<doi:10.1002/bimj.202100210>.
