pred.smooth {Rsurrogate} | 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 treatment group; used to estimate conditional mean function |
zi.one |
surrogate values in the control group |
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.
[Package Rsurrogate version 3.2 Index]