full_data

Simulated nonsmooth data to illustrate functions

datasets

Assess the proportion of treatment effect explained by a longitudinal surrogate marker as described in Agniel D and Parast L (2021) <doi:10.1111/biom.13310>; and estimate the treatment effect on a longitudinal surrogate marker as described in Wang et al. (2025) <doi:10.1093/biomtc/ujaf104>. A tutorial for this package can be found at <https://www.laylaparast.com/longsurr>.

Layla Parast

longsurr

Longitudinal Surrogate Marker Analysis

Denis Agniel

Xuan Wang

full_data function

A data frame with 10100 observations on the following 5 variables.<dl>
 <dt><code>id</code></dt>
<dd>a unique person ID</dd> <dt><code>a</code></dt>
<dd>treatment group, 0 or 1</dd> <dt><code>tt</code></dt>
<dd>time</dd> <dt><code>x</code></dt>
<dd>surrogate marker value</dd> <dt><code>y</code></dt>
<dd>primary outcome</dd> 
</dl>

Format

Example data to illustrate functions — full_data

A data frame with 10100 observations on the following 5 variables.<dl>
 <dt><code>id</code></dt>
<dd>a unique person ID</dd>

 <dt><code>a</code></dt>
<dd>treatment group, 0 or 1</dd>

 <dt><code>tt</code></dt>
<dd>time</dd>

 <dt><code>x</code></dt>
<dd>surrogate marker value</dd>

 <dt><code>y</code></dt>
<dd>primary outcome</dd>

 
</dl>

full_data: Example data to illustrate functions

Description

Usage

Arguments

Format