kern.estJ

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

kern.estJ function

<dl> <dt>sb.arg</dt>
<dd>surrogate marker from Study B</dd> <dt>band.h</dt>
<dd>bandwidth</dd> <dt>sa.vec</dt>
<dd>surrogate marker from Study A</dd> <dt>ya.vec</dt>
<dd>primary outcome from Study A</dd></dl>

Arguments

Author

Computes kernel density estimate — kern.estJ

<dl>

 <dt>sb.arg</dt>
<dd>surrogate marker from Study B</dd>

 <dt>band.h</dt>
<dd>bandwidth</dd>

 <dt>sa.vec</dt>
<dd>surrogate marker from Study A</dd>

 <dt>ya.vec</dt>
<dd>primary outcome from Study A</dd>

</dl>

kern.estJ: Computes kernel density estimate

Description

Usage

Value

Arguments

Author