pred.smooth

Helper function; calculates the expected outcome for control group surrogate values using treatment group surrogate and outcome information.

robust

internal

smooth

nonparametric

Provides functions to estimate the proportion of treatment effect on the primary outcome that is explained by the treatment effect on the surrogate marker.

Layla Parast

Rsurrogate

Robust Estimation of the Proportion of Treatment Effect
Explained by Surrogate Marker Information

pred.smooth function

<dl> <dt>zz</dt>
<dd>
surrogate values in the treatment group; used to estimate conditional mean function</dd> <dt>zi.one</dt>
<dd>
surrogate values in the control group</dd> <dt>bw</dt>
<dd>
bandwidth</dd> <dt>y1</dt>
<dd>
outcome in the treatment group</dd> <dt>weight</dt>
<dd>
weight</dd>
</dl>

Arguments

Layla Parast

Author


Calculates expected outcome for control group surrogate values — pred.smooth

<dl>

 <dt>zz</dt>
<dd>
surrogate values in the treatment group; used to estimate conditional mean function</dd>

 <dt>zi.one</dt>
<dd>
surrogate values in the control group</dd>

 <dt>bw</dt>
<dd>
bandwidth</dd>

 <dt>y1</dt>
<dd>
outcome in the treatment group</dd>

 <dt>weight</dt>
<dd>
weight</dd>


</dl>

pred.smooth: Calculates expected outcome for control group surrogate values

Description

Usage

Value

Arguments

Author

Details

References