Scores for the patient rated global impression (PGI) measured on an ordinal scale 
(ranging from 1 to 6) being observed at baseline and after 4 weeks of treatment.
The lower the score, the better the clinical impression.

datasets

With this package, it is possible to compute nonparametric simultaneous confidence intervals for relative contrast effects in the unbalanced one way layout. Moreover, it computes simultaneous p-values. The simultaneous confidence intervals can be computed using multivariate normal distribution, multivariate t-distribution with a Satterthwaite Approximation of the degree of freedom or using multivariate range preserving transformations with Logit or Probit as transformation function. 2 sample comparisons can be performed with the same methods described above. There is no assumption on the underlying distribution function, only that the data have to be at least ordinal numbers. See Konietschke et al. (2015) <doi:10.18637/jss.v064.i09> for details.

Kerstin Rubarth

nparcomp

Multiple Comparisons and Simultaneous Confidence Intervals

PGI function

A data frame with 30 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>patient</code></dt><dd>A numeric vector indicating the patients.</dd>
 <dt><code>timepoint</code></dt><dd>A numeric vector indicating the week (0,2,4,6,8) of measurement.</dd>
 <dt><code>PGIscore</code></dt><dd>A numeric vector containing the PGI score.</dd>
 </dl>

Format

Patient Rated Global Impression (PGI) Scores — PGI

A data frame with 30 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>patient</code></dt><dd>A numeric vector indicating the patients.</dd>
 <dt><code>timepoint</code></dt><dd>A numeric vector indicating the week (0,2,4,6,8) of measurement.</dd>
 <dt><code>PGIscore</code></dt><dd>A numeric vector containing the PGI score.</dd>
 </dl>

PGI: Patient Rated Global Impression (PGI) Scores

Description

Usage

Arguments

Format

Examples