data_null_deaths_binary

A dataset consisting of 21,674 observations on 1,000 individuals over 25 time points. Each row in the dataset corresponds to the record of one individual at one time point.

datasets

Implements several methods to estimate effects of generalized
time-varying treatment strategies on the mean of an outcome at one or more
selected follow-up times of interest. Specifically, the package implements
the time-smoothed inverse probability weighted estimators described in
McGrath et al. (2025) <doi:10.48550/arXiv.2509.13971>. Outcomes may be repeatedly,
non-monotonically, informatively, and sparsely measured in the data source.
The package also supports settings where outcomes are truncated by death,
i.e. some individuals die during follow-up which renders the outcome of
interest undefined at the follow-up time of interest.

Sean McGrath

smoothedIPW

Time-Smoothed Inverse Probability Weighting for Repeatedly
Measured Outcomes

Takuya Kawahara

Jessica Young

data_null_deaths_binary function

A data table with 21,674 rows and 8 variables:<dl>
<dt>time</dt>
<dd>Time index.</dd><dt>id</dt>
<dd>Unique identifier for each individual.</dd><dt>L</dt>
<dd>Binary time-varying covariate.</dd><dt>Z</dt>
<dd>Medication initiated at baseline.</dd><dt>A</dt>
<dd>Binary indicator of adhering to medication initiated at baseline.</dd><dt>R</dt>
<dd>Indicator if the outcome of interest is measured.</dd><dt>Y</dt>
<dd>Binary outcome of interest.</dd><dt>D</dt>
<dd>Indicator if death occured.</dd>
</dl>

Format

Example dataset with null treatment effects and deaths (binary outcome) — data_null_deaths_binary

A data table with 21,674 rows and 8 variables:<dl>
<dt>time</dt>
<dd>Time index.</dd>

<dt>id</dt>
<dd>Unique identifier for each individual.</dd>

<dt>L</dt>
<dd>Binary time-varying covariate.</dd>

<dt>Z</dt>
<dd>Medication initiated at baseline.</dd>

<dt>A</dt>
<dd>Binary indicator of adhering to medication initiated at baseline.</dd>

<dt>R</dt>
<dd>Indicator if the outcome of interest is measured.</dd>

<dt>Y</dt>
<dd>Binary outcome of interest.</dd>

<dt>D</dt>
<dd>Indicator if death occured.</dd>


</dl>

data_null_deaths_binary: Example dataset with null treatment effects and deaths (binary outcome)

Description

Usage

Arguments

Format