pred.smooth: Calculates expected outcome for control group surrogate...
In laylaparast/Rsurrogate: Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information
View source: R/Functions_Rsurrogate.R
pred.smooth R Documentation
Calculates expected outcome for control group surrogate values
Description
Helper function; calculates the expected outcome for control group surrogate values using treatment group surrogate and outcome information.
Usage
pred.smooth(zz, zi.one, bw = NULL, y1, weight = NULL)
Arguments
zz
surrogate values in the control group
zi.one
surrogate values in the treatment group; used to estimate conditional mean function
bw
bandwidth
y1
outcome in the treatment group
weight
weight
Details
Details are included in the documentation for R.s.estimate
Value
expected outcome for each surrogate value in the control group
Author(s)
Layla Parast
References
Parast, L., McDermott, M., Tian, L. (2016). Robust estimation of the proportion of treatment effect explained by surrogate marker information. Statistics in medicine, 35(10):1637-1653.
laylaparast/Rsurrogate documentation built on Sept. 28, 2022, 12:25 p.m.
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View source: R/Functions_Rsurrogate.R
| pred.smooth | R Documentation |
Calculates expected outcome for control group surrogate values
Description
Helper function; calculates the expected outcome for control group surrogate values using treatment group surrogate and outcome information.
Usage
pred.smooth(zz, zi.one, bw = NULL, y1, weight = NULL)
Arguments
zz |
surrogate values in the control group |
zi.one |
surrogate values in the treatment group; used to estimate conditional mean function |
bw |
bandwidth |
y1 |
outcome in the treatment group |
weight |
weight |
Details
Details are included in the documentation for R.s.estimate
Value
expected outcome for each surrogate value in the control group
Author(s)
Layla Parast
References
Parast, L., McDermott, M., Tian, L. (2016). Robust estimation of the proportion of treatment effect explained by surrogate marker information. Statistics in medicine, 35(10):1637-1653.
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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