RCI_sample_data

This dataset is a simulated sample of 100 patients from a study on cognitive decline.

datasets

Here we provide an implementation of the linear and logistic regression-based Reliable Change Index (RCI), to be used with lm and binomial glm model objects, respectively, following Moral et al. <https://psyarxiv.com/gq7az/>. The RCI function returns a score assumed to be approximately normally distributed, which is helpful to detect patients that may present cognitive decline.

Rafael de Andrade Moral

LogisticRCI

Linear and Logistic Regression-Based Reliable Change Index

Unai Diaz-Orueta

Javier Oltra-Cucarella

RCI_sample_data function

A data frame with 100 observations on the following 5 variables:<dl class="dl-horizontal">
 <dt><code>age</code></dt><dd>The patient's age.</dd>
 <dt><code>gender</code></dt><dd>A factor with two levels: "male" or "female".</dd>
 <dt><code>score</code></dt><dd>The score obtained after 6 months.</dd>
 <dt><code>baseline</code></dt><dd>The score obtained at the start of the study.</dd>
 <dt><code>education</code></dt><dd>Number of years of education.</dd>
 </dl>

Format

Sample Data for RCI Calculation — RCI_sample_data

A data frame with 100 observations on the following 5 variables:<dl class='dl-horizontal'>
 <dt><code>age</code></dt><dd>The patient's age.</dd>
 <dt><code>gender</code></dt><dd>A factor with two levels: "male" or "female".</dd>
 <dt><code>score</code></dt><dd>The score obtained after 6 months.</dd>
 <dt><code>baseline</code></dt><dd>The score obtained at the start of the study.</dd>
 <dt><code>education</code></dt><dd>Number of years of education.</dd>
 </dl>

RCI_sample_data: Sample Data for RCI Calculation

Description

Usage

Arguments

Format

Examples