Clinical study designed to compare the automated and semi-automated scoring of 
 Polysomnographic (PSG) recordings used to diagnose transient sleep disorders. 
 The study considered 82 patients who were given a sleep-inducing drug (Zolpidem 
 10 mg). Measurements of latency to persistent sleep (LPS: lights out to the 
 beginning of 10 consecutive minutes of uninterrupted sleep) were obtained using 
 six different methods.

datasets

Routines to perform estimation and inference under the multivariate
t-distribution <doi:10.1007/s10182-022-00468-2>. Currently, the following methodologies
are implemented: multivariate mean and covariance estimation, hypothesis testing
about equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation,
QQ-plots with envelopes and random variate generation.

Felipe Osorio

Estimation and Testing for the Multivariate t-Distribution

PSG function

A data frame with 82 observations on the following 3 variables.<dl>
 <dt>manual</dt>
<dd>fully manual scoring.</dd> <dt>automated</dt>
<dd>automated scoring by the Morpheus software.</dd> <dt>partial</dt>
<dd>Morpheus automated scoring with manual review.</dd> 
</dl>

Format

Transient sleep disorder — PSG

A data frame with 82 observations on the following 3 variables.<dl>
 <dt>manual</dt>
<dd>fully manual scoring.</dd>

 <dt>automated</dt>
<dd>automated scoring by the Morpheus software.</dd>

 <dt>partial</dt>
<dd>Morpheus automated scoring with manual review.</dd>

 
</dl>

PSG: Transient sleep disorder

Description

Usage

Arguments

Format