pre_post_data_example

A simulated dataset showing measurements before and after an intervention. Each subject has multiple measurements over time.

datasets

Global hypothesis tests combine information across multiple endpoints to test a single hypothesis. The prediction test is a recently proposed global hypothesis test with good performance for small sample sizes and many endpoints of interest. The test is also flexible in the types and combinations of expected results across the individual endpoints. This package provides functions for data processing and calculation of the prediction test.

Neal Montgomery

PredTest

Preparing Data For, and Calculating the Prediction Test

Richard Vargas

pre_post_data_example function

A data frame with 30 rows and 6 variables:<dl>
<dt>ID</dt>
<dd>A unique identifier for each subject.</dd><dt>time</dt>
<dd>A numeric variable indicating time points, <code>0</code> for pre-intervention and <code>12</code> for post-intervention.</dd><dt>v1</dt>
<dd>A numeric vector representing the first variable.</dd><dt>v2</dt>
<dd>A numeric vector representing the second variable.</dd><dt>v3</dt>
<dd>A numeric vector representing the third variable.</dd><dt>v4</dt>
<dd>A numeric vector representing the fourth variable.</dd>
</dl>

Format

Pre-Post Data Example — pre_post_data_example

A data frame with 30 rows and 6 variables:<dl>
<dt>ID</dt>
<dd>A unique identifier for each subject.</dd>

<dt>time</dt>
<dd>A numeric variable indicating time points, <code>0</code> for pre-intervention and <code>12</code> for post-intervention.</dd>

<dt>v1</dt>
<dd>A numeric vector representing the first variable.</dd>

<dt>v2</dt>
<dd>A numeric vector representing the second variable.</dd>

<dt>v3</dt>
<dd>A numeric vector representing the third variable.</dd>

<dt>v4</dt>
<dd>A numeric vector representing the fourth variable.</dd>


</dl>

pre_post_data_example: Pre-Post Data Example

Description

Usage

Arguments

Format

Examples