| Name : R-xhaz
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| Version : 2.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.1.1
| Date : 2024-07-01 11:27:57
|
| Group : Development/Libraries/Other
| Source RPM : R-xhaz-2.0.2-lp156.1.1.src.rpm
|
| Size : 0.91 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Excess Hazard Modelling Considering Inappropriate Mortality Rates
|
Description :
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>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
