R.surv.s.w

Estimates the propoportion of treatment effect explained as a function of a baseline covariate, 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

R.surv.s.w function

<dl> <dt>xone</dt>
<dd>x1</dd> <dt>xzero</dt>
<dd>x0</dd> <dt>deltaone</dt>
<dd>delta1</dd> <dt>deltazero</dt>
<dd>delta0</dd> <dt>sone</dt>
<dd>s1</dd> <dt>szero</dt>
<dd>s0</dd> <dt>wone</dt>
<dd>w1</dd> <dt>wzero</dt>
<dd>w0</dd> <dt>w.grd</dt>
<dd>grid for w</dd> <dt>myt</dt>
<dd>t of interest</dd> <dt>landmark</dt>
<dd>landmark time</dd> <dt>extrapolate</dt>
<dd>TRUE or FALSE</dd> <dt>h.0</dt>
<dd>bandwidth</dd> <dt>h.1</dt>
<dd>bandwidth</dd> <dt>h.w</dt>
<dd>bandwidth</dd> <dt>h.s</dt>
<dd>bandwidth</dd> <dt>h.w.1</dt>
<dd>bandwidth</dd></dl>

Arguments

Estimates the propoportion of treatment effect explained as a function of a baseline covariate, w — R.surv.s.w

<dl>

 <dt>xone</dt>
<dd>x1</dd>

 <dt>xzero</dt>
<dd>x0</dd>

 <dt>deltaone</dt>
<dd>delta1</dd>

 <dt>deltazero</dt>
<dd>delta0</dd>

 <dt>sone</dt>
<dd>s1</dd>

 <dt>szero</dt>
<dd>s0</dd>

 <dt>wone</dt>
<dd>w1</dd>

 <dt>wzero</dt>
<dd>w0</dd>

 <dt>w.grd</dt>
<dd>grid for w</dd>

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

 <dt>landmark</dt>
<dd>landmark time</dd>

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

 <dt>h.0</dt>
<dd>bandwidth</dd>

 <dt>h.1</dt>
<dd>bandwidth</dd>

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

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

 <dt>h.w.1</dt>
<dd>bandwidth</dd>

</dl>

R.surv.s.w: Estimates the propoportion of treatment effect explained as a function of a baseline covariate, w

Description

Usage

Value

Arguments