presmooth_data

Pre-smooth sparse longitudinal data

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

presmooth_data function

<dl><dt>obs_data</dt>
<dd>data.frame or tibble containing the observed data, with columns <code>id</code> identifying the individual measured, <code>tt</code> identifying the time of the observation, <code>x</code> the value of the surrogate at time <code>tt</code>, and <code>a</code> indicating 1 for treatment arm and 0 for control arm.</dd><dt>...</dt>
<dd>additional arguments passed on to <code>fpca</code></dd></dl>

Arguments

Pre-smooth sparse longitudinal data — presmooth_data

<dl>

<dt>obs_data</dt>
<dd>data.frame or tibble containing the observed data, with columns <code>id</code> identifying the individual measured, <code>tt</code> identifying the time of the observation, <code>x</code> the value of the surrogate at time <code>tt</code>, and <code>a</code> indicating 1 for treatment arm and 0 for control arm.</dd>

<dt>...</dt>
<dd>additional arguments passed on to <code>fpca</code></dd>

</dl>

presmooth_data: Pre-smooth sparse longitudinal data

Description

Usage

Value

Arguments

Examples