pred.smooth.surv.w.s

Estimates P(T&gt;t|T&gt;t_0, S=s, W=w)

internal

Provides functions to assess and test for heterogeneity in the utility of a surrogate marker with respect to a baseline covariate using censored (survival data), and to test for heterogeneity across multiple time points. More details are available in Parast et al (2024) <doi:10.1002/sim.10122>.

Layla Parast

hetsurrSurv

Assessing Heterogeneity in Surrogacy Using Censored Data

pred.smooth.surv.w.s function

<dl> <dt>x.ref</dt>
<dd>x reference</dd> <dt>delta.ref</dt>
<dd>delta reference</dd> <dt>w.ref</dt>
<dd>w reference</dd> <dt>s.ref</dt>
<dd>s reference</dd> <dt>w.apply</dt>
<dd>w to apply estimate to</dd> <dt>s.apply</dt>
<dd>s to apply estimate to</dd> <dt>h.s</dt>
<dd>bandwidth</dd> <dt>h.w</dt>
<dd>bandwidth</dd> <dt>myt</dt>
<dd>time of interest</dd> <dt>extrapolate</dt>
<dd>TRUE or FALSE</dd> <dt>kerni.ss.s</dt>
<dd>kernel matrix</dd> <dt>tmpind</dt>
<dd>temporary indicator</dd> <dt>tj</dt>
<dd>temporary tj</dd></dl>

Arguments

Estimates P(T&gt;t|T&gt;t_0, S=s, W=w) — pred.smooth.surv.w.s

<dl>

 <dt>x.ref</dt>
<dd>x reference</dd>

 <dt>delta.ref</dt>
<dd>delta reference</dd>

 <dt>w.ref</dt>
<dd>w reference</dd>

 <dt>s.ref</dt>
<dd>s reference</dd>

 <dt>w.apply</dt>
<dd>w to apply estimate to</dd>

 <dt>s.apply</dt>
<dd>s to apply estimate to</dd>

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

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

 <dt>myt</dt>
<dd>time of interest</dd>

 <dt>extrapolate</dt>
<dd>TRUE or FALSE</dd>

 <dt>kerni.ss.s</dt>
<dd>kernel matrix</dd>

 <dt>tmpind</dt>
<dd>temporary indicator</dd>

 <dt>tj</dt>
<dd>temporary tj</dd>

</dl>

pred.smooth.surv.w.s: Estimates P(T>t|T>t_0, S=s, W=w)

Description

Usage

Value

Arguments