| Name : R-JMH
| |
| Version : 1.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.2.3
| Date : 2024-09-10 21:48:40
|
| Group : Development/Libraries/Other
| Source RPM : R-JMH-1.0.3-lp154.2.3.src.rpm
|
| Size : 1.13 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Joint Model of Heterogeneous Repeated Measures and Survival Data
|
Description :
Maximum likelihood estimation for the semi-parametric joint modeling of
competing risks and longitudinal data in the presence of heterogeneous
within-subject variability, proposed by Li and colleagues (2023)
< arXiv:2301.06584>. The proposed method models the within-subject
variability of the biomarker and associates it with the risk of the
competing risks event. The time-to-event data is modeled using a
(cause-specific) Cox proportional hazards regression model with
time-fixed covariates. The longitudinal outcome is modeled using a
mixed-effects location and scale model. The association is captured by
shared random effects. The model is estimated using an Expectation
Maximization algorithm.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
