pred.smooth.2

Helper function; calculates the condition mean of Y given S, based on Study A data

internal

Provides functions to implement group sequential procedures that allow for early stopping to declare efficacy using a surrogate marker and the possibility of futility stopping. More details are available in: Parast, L. and Bartroff, J (2024) <doi:10.1093/biomtc/ujae108>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogateseq>. A Shiny App implementing the methods can be found at <https://parastlab.shinyapps.io/SurrogateSeqApp/>.

Layla Parast

SurrogateSeq

Group Sequential Testing of a Treatment Effect Using a Surrogate
Marker

Jay Bartroff

pred.smooth.2 function

<dl> <dt>kernel.use</dt>
<dd>surrogate values in the control group in Study A</dd> <dt>kernel.apply</dt>
<dd>surrogate values in Study B</dd> <dt>bw</dt>
<dd>bandwidth</dd> <dt>outcome</dt>
<dd>outcome in the control group in Study A</dd>
</dl>

Arguments

Author

Calculates the conditional mean function — pred.smooth.2

<dl>

 <dt>kernel.use</dt>
<dd>surrogate values in the control group in Study A</dd>

 <dt>kernel.apply</dt>
<dd>surrogate values in Study B</dd>

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

 <dt>outcome</dt>
<dd>outcome in the control group in Study A</dd>


</dl>

pred.smooth.2: Calculates the conditional mean function

Description

Usage

Value

Arguments

Author