compData

A dataset with 26581 observations on 10000 individuals and 4 time points. The dataset is in long format with each row representing the record of one individual at one time point.

datasets

Implements iterative conditional expectation (ICE) estimators of the plug-in g-formula (Wen, Young, Robins, and Hernán (2020) <doi: 10.1111/biom.13321>).
Both singly robust and doubly robust ICE estimators based on parametric models are available.
The package can be used to estimate survival curves under sustained treatment strategies (interventions) using longitudinal data with time-varying treatments, time-varying confounders, censoring, and competing events.
The interventions can be static or dynamic, and deterministic or stochastic (including threshold interventions). Both prespecified and user-defined interventions are available.

Jing Li

gfoRmulaICE

Parametric Iterative Conditional Expectation G-Formula

Zhaoxi Cheng

Sophia Rein

Ryan O'Dea

Sean McGrath

Lan Wen

Miguel A. Hernán

2024 The President and Fellows of Harvard College 

compData function

A data frame with 26581 rows and 9 variables:<dl>
 <dt>t0</dt>
<dd>Time index.</dd> <dt>id</dt>
<dd>Unique identifier for each individual.</dd> <dt>L1</dt>
<dd>Binary covariate.</dd> <dt>L2</dt>
<dd>Continuous covariate.</dd> <dt>A1</dt>
<dd>Categorical treatment variable with levels 1, 2, and 3.</dd> <dt>A2</dt>
<dd>Binary treatment variable.</dd> <dt>C</dt>
<dd>Censoring event indicator.</dd> <dt>D</dt>
<dd>Competing event indicator.</dd> <dt>Y</dt>
<dd>Outcome indicator.</dd>
</dl>

Format

Example Dataset for a Survival Outcome with Both Censoring and Competing Event — compData

A data frame with 26581 rows and 9 variables:<dl>
 <dt>t0</dt>
<dd>Time index.</dd>

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

 <dt>L1</dt>
<dd>Binary covariate.</dd>

 <dt>L2</dt>
<dd>Continuous covariate.</dd>

 <dt>A1</dt>
<dd>Categorical treatment variable with levels 1, 2, and 3.</dd>

 <dt>A2</dt>
<dd>Binary treatment variable.</dd>

 <dt>C</dt>
<dd>Censoring event indicator.</dd>

 <dt>D</dt>
<dd>Competing event indicator.</dd>

 <dt>Y</dt>
<dd>Outcome indicator.</dd>


</dl>

Example Dataset for a Survival Outcome with Both Censoring and Competing Event

compData: Example Dataset for a Survival Outcome with Both Censoring and Competing Event

Description

Usage

Arguments

Format