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Methods Inf Med 1979; 18(03): 175-179
DOI: 10.1055/s-0038-1636462
Original Article
Schattauer GmbH

A Multivariate Approach to Analyze Ordinal Data Collected in Clinical Trials of Analgesic Agents

EIN MULTIVARIATER ANSATZ ZUR ANALYSE ORDINALER DATEN IN KLINISCHEN VERSUCHEN MIT ANALGETISCHEN STOFFEN
E. Mabubini
1   From the Institute of Biometry and Medical Statistics and the Dept. of Pharmacological Assays, University of Milan
,
M. Rainisio
1   From the Institute of Biometry and Medical Statistics and the Dept. of Pharmacological Assays, University of Milan
,
V. Mandelli
1   From the Institute of Biometry and Medical Statistics and the Dept. of Pharmacological Assays, University of Milan
› Author Affiliations
Further Information

Publication History

Publication Date:
14 February 2018 (online)

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After pointing out the drawbacks of the approach commonly used to analyze the data collected in controlled clinical trials carried out to evaluate the analgesic effect of potential agents, the authors suggest a procedure suitable for analyzing data coded according to an ordinal scale. In the first stage a multivariate analysis is carried out on the codec! data and the projection of each result in the space of the most relevant factors is obtained. In the second stage the whole set of these values is processed by distribution-free tests. The procedure has been applied to data previously published by VENTAITBIDDA et al. [18].

Nach einer Aufzählung der Nachteile der üblichen Methoden der Auswertung klinischer Daten über die Wirksamkeit schmerzstillender Mittel wird eine Prozedur vorgeschlagen, die eine Analyse von mittels einer ordinalen Skala verschlüsselten Daten ermöglicht.

Im ersten Schritt wird eine multivariate Analyse der verschlüsselten Daten durchgeführt; auf diese Weise erhält man die räumliche Projektion der wichtigsten Faktoren. In einem zweiten Schritt werden die so erhaltenen Werte mittels verteilungsfreier Methoden analysiert. Die beschriebene Prozedur wurde auf bereits veröffentlichte Resultate von VENTAITBIDDA et al. [18] angewendet.

Keywords

Correspondence Analysis - Categorical Data - Distribution-free Approach

Schlüssel-Wörter

Korrespondenz-Analyse - Kategoriale Daten - verteilungsfreie Methoden
 

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