get_MSM_RDs: Risk Difference Estimates and SEs for IPW-MSM
In osofr/stremr: Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
Description
Usage
Arguments
Value
See Also
View source: R/helper_routines.R
Description
Produces table(s) with pair-wise risk differences for all regimens that were used for fitting IPW-MSM.
The corresponding SEs are evaluated based on the estimated influence curves (IC).
Usage
1
get_MSM_RDs(MSM, t.periods.RDs, getSEs = TRUE)
Arguments
MSM
Object returned by survMSM.
t.periods.RDs
Vector of time-points for evaluation of pairwise risk differences.
getSEs
Evaluate the influence curve based RD estimates of standard errors (SEs) along with point estimates?
Value
A list with RD tables. One table for each time-point in t.periods.RDs.
See Also
survMSM for estimation with MSM.
osofr/stremr documentation built on Jan. 25, 2022, 8:07 a.m.
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Description Usage Arguments Value See Also
View source: R/helper_routines.R
Description
Produces table(s) with pair-wise risk differences for all regimens that were used for fitting IPW-MSM. The corresponding SEs are evaluated based on the estimated influence curves (IC).
Usage
1 | get_MSM_RDs(MSM, t.periods.RDs, getSEs = TRUE)
|
Arguments
MSM |
Object returned by |
t.periods.RDs |
Vector of time-points for evaluation of pairwise risk differences. |
getSEs |
Evaluate the influence curve based RD estimates of standard errors (SEs) along with point estimates? |
Value
A list with RD tables. One table for each time-point in t.periods.RDs.
See Also
survMSM for estimation with MSM.
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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