SensIAT_example_data

A simulated dataset for use in the SensIAT tutorial, testing and documentation.

datasets

Sensitivity analysis for trials with irregular and informative
assessment times, based on a new influence function-based, augmented
inverse intensity-weighted estimator.

Andrew Redd

SensIAT

Sensitivity Analysis for Irregular Assessment Times

Yujing Gao

Shu Yang

Bonnie Smith

Agatha Mallett

Daniel Scharfstein

University of Utah 

SensIAT_example_data function

A data frame with 779 rows and 4 variables consisting of 200
simulated patients. Each row in the data represents a visit for the patient.
The columns are:<dl>
<dt>Subject_ID</dt>
<dd>A unique identifier for each patient.</dd><dt>Visit</dt>
<dd>The ordinal number of the visit for the patient. Baseline observation is 0.</dd><dt>Time</dt>
<dd>The time of the visit in days, since baseline.</dd><dt>Outcome</dt>
<dd>The outcome of interest.</dd>
</dl>

Format

SensIAT Example Data — SensIAT_example_data

A data frame with 779 rows and 4 variables consisting of 200
simulated patients. Each row in the data represents a visit for the patient.
The columns are:<dl>
<dt>Subject_ID</dt>
<dd>A unique identifier for each patient.</dd>

<dt>Visit</dt>
<dd>The ordinal number of the visit for the patient. Baseline observation is 0.</dd>

<dt>Time</dt>
<dd>The time of the visit in days, since baseline.</dd>

<dt>Outcome</dt>
<dd>The outcome of interest.</dd>


</dl>

SensIAT_example_data: SensIAT Example Data

Description

Usage

Arguments

Format