gemCFM: Model for a survival outcome based on Gemcitbine patients...
In psc: Personalised Synthetic Controls
gemCFM R Documentation
Model for a survival outcome based on Gemcitbine patients from ESPAC-3
Description
A generated model with a survival endpoint and a cuymulative hazard function
estimated using flexible parametric splines. Data for the model were obtained
from the ESPAC-3 trials
Usage
gemCFM
Format
A model of class 'pscCFM' containg a 'flexsurvreg' model:
- gamma
cumulative baseline hazard parameters
- nodes
negative (n=1) or positive (n=2) lymph nodes
- grade
tumour grade (1,2 or 3)
- lca199
log transformed ca19.9
- ResecM
Resection Margins)
Source
simulated
psc documentation built on June 8, 2026, 5:06 p.m.
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| gemCFM | R Documentation |
Model for a survival outcome based on Gemcitbine patients from ESPAC-3
Description
A generated model with a survival endpoint and a cuymulative hazard function estimated using flexible parametric splines. Data for the model were obtained from the ESPAC-3 trials
Usage
gemCFM
Format
A model of class 'pscCFM' containg a 'flexsurvreg' model:
- gamma
cumulative baseline hazard parameters
- nodes
negative (n=1) or positive (n=2) lymph nodes
- grade
tumour grade (1,2 or 3)
- lca199
log transformed ca19.9
- ResecM
Resection Margins)
Source
simulated
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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