data_sjm

Simulated example data for semiparametric joint estimation 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

data_sjm function

A list with 200 observations on the following:<dl>
 <dt><code>delta</code></dt>
<dd>numeric vector containing the event indicator for each observation</dd> <dt><code>obsT</code></dt>
<dd>numeric matrix containing the time that the surrogate marker was measured for each observation; number of rows is equal to the number of observations (200) and number of columns is equal to the maximum number of surrogate markers measured (15)</dd> <dt><code>Y</code></dt>
<dd>numeric matrix containing the surrogate marker measurements over time for each observation; same dimension as obsT</dd> <dt><code>Time</code></dt>
<dd>numeric vector containing the observed event or censoring time for each observation</dd> <dt><code>Treatment</code></dt>
<dd>numeric vector containing the treatment indicator for each observation with 1 for treated and 0 for control</dd> 
</dl>

Format

Example data for semiparametric joint estimation functions — data_sjm

A list with 200 observations on the following:<dl>
 <dt><code>delta</code></dt>
<dd>numeric vector containing the event indicator for each observation</dd>

 <dt><code>obsT</code></dt>
<dd>numeric matrix containing the time that the surrogate marker was measured for each observation; number of rows is equal to the number of observations (200) and number of columns is equal to the maximum number of surrogate markers measured (15)</dd>

 <dt><code>Y</code></dt>
<dd>numeric matrix containing the surrogate marker measurements over time for each observation; same dimension as obsT</dd>

 <dt><code>Time</code></dt>
<dd>numeric vector containing the observed event or censoring time for each observation</dd>

 <dt><code>Treatment</code></dt>
<dd>numeric vector containing the treatment indicator for each observation with 1 for treated and 0 for control</dd>

 
</dl>

data_sjm: Example data for semiparametric joint estimation functions

Description

Usage

Arguments

Format

Examples