| Name : R-markovMSM
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.7
| Date : 2024-06-14 11:29:53
|
| Group : Development/Libraries/Other
| Source RPM : R-markovMSM-0.1.3-lp153.1.7.src.rpm
|
| Size : 0.21 MB
| |
| Packager : (none)
| |
| Summary : Methods for Checking the Markov Condition in Multi-State Survival Data
|
Description :
The inference in multi-state models is traditionally performed under a
Markov assumption that claims that past and future of the process are
independent given the present state. In this package, we consider tests
of the Markov assumption that are applicable to general multi-state
models. Three approaches using existing methodology are considered: a
simple method based on including covariates depending on the history in
Cox models for the transition intensities; methods based on measuring
the discrepancy of the non-Markov estimators of the transition
probabilities to the Markov Aalen-Johansen estimators; and, finally,
methods that were developed by considering summaries from families of
log-rank statistics where patients are grouped by the state occupied of
the process at a particular time point (see Soutinho G, Meira-Machado L
(2021) < doi:10.1007/s00180-021-01139-7> and Titman AC, Putter H (2020)
< doi:10.1093/biostatistics/kxaa030>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
