fg.model.ipcw: IPCW for Fine-Gray model
In wuergh/hedgehog: R functions for personal use
Description
Usage
Arguments
References
Description
Calculate inverse probability of censoring weighting for Fine and Gray model.
Usage
1
fg.model.ipcw(t, survival.object, censoring.status = 0)
Arguments
t
time weights should be calculated at.
survival.object
survival object containing survival information for each patient.
censoring.status
status level corresponding to censoring, defaults to 0.
References
Jason P. Fine and Robert J. Gray (1999). A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association.
wuergh/hedgehog documentation built on June 2, 2019, 7:55 p.m.
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Description Usage Arguments References
Description
Calculate inverse probability of censoring weighting for Fine and Gray model.
Usage
1 | fg.model.ipcw(t, survival.object, censoring.status = 0)
|
Arguments
t |
time weights should be calculated at. |
survival.object |
survival object containing survival information for each patient. |
censoring.status |
status level corresponding to censoring, defaults to 0. |
References
Jason P. Fine and Robert J. Gray (1999). A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association.
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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