cif_est {cmprskcoxmsm} | R Documentation |
Estimated cumulative incidence function
Description
cif_est
estimates the cumulative incidence function (CIF, i.e.risk) based on the cause-specific regression results with 95% confidence intervals, it also calculates the risk ratio and risk difference for the specific time point.
Usage
cif_est(data=,
time, time2 = NULL,
Event.var, Events, cif.event,
weight.type,
ties = NULL,
risktab = TRUE, risk.time = NULL)
Arguments
data |
The dataset, output of |
time |
See |
time2 |
See |
Event.var |
The variable name for the event indicator which typically has at least 3 levels. |
Events |
The vector of all the event name, the rest of levels in the |
cif.event |
Value of event of interest for the CIF. |
weight.type |
See |
ties |
See |
risktab |
Indicator whether the risk ratio and risk difference table should be returned. |
risk.time |
If |
Details
After estimating the parameters in the cause-specific hazard using IPW, we could estimate the corresponding CIF:
where is the estimated overall survial function for
,
,
, and
is a Breslow-type estimator of the baseline cumulative hazard.
Value
Returns a table containing the estimated CIF for the event of interest for control and treated group and their 95% confidence intervals.
If risktab
, will return the risk ratio and risk difference at time risk.time
, and their 95% confidence intervals.
References
Hou, J., Paravati, A., Hou, J., Xu, R., & Murphy, J. (2018). “High-dimensional variable selection and prediction under competing risks with application to SEER-Medicare linked data,” Statistics in Medicine 37(24), 3486-3502.