surv.mod {psc} | R Documentation |
Example model for a survival outcome
Description
A generated model with a survival endpoint and a cuymulative hazard function estimated using flexible parametric splines. Data for the model were synthetically generated and are based on a dataset to evaulate the use of Sorafenib in HCC akin to the PROSASH model
Usage
surv.mod
Format
A model of class 'flezsurvreg':
- gamma
cumulative baseline hazard parameters
- vi
vascular invasion
- age60
patient age (centred at 60)
- ecog
ECOG performance Status
- logafp
AFP - log scale
- alb
albumin
- logcreat
Creatinine - log scale
- allmets
metastesis
- ageVasInv
centred age nested within vascular invasion
- time
survival time
- cen
censoring indicator
- os
survival time
de
- count
exapmple outcome for count data
- trt
exapmple identifier for mulitple treatment comparisons
- aet
Aetiology
Source
simulated
References
Using prognostic and predictive clinical features to make personalised survival prediction in advanced hepatocellular carcinoma patients undergoing sorafenib treatment. Berhane S, et al., Br J Cancer. 2019 Jul;121(2):117-124