Non-parametric statistical tests and their software realisation

Česká verze

Authors: L. Ličman; K. Langová ; J. Zapletalová
Authors place of work: Ústav lékařské biofyziky, Lékařská fakulta, Univerzita Palackého v Olomouci, ČR
Published in the journal: Lékař a technika - Clinician and Technology No. 2, 2014, 44, 5-10
Category: Vzdělávací článek

Summary

The purpose of this article is to introduce advanced data processing with SPSS statistical software and use of a programming approach for this application. The article has a statistical and informatics part. The statistical section describes the non-parametric data analysis and post hoc tests, which are difficult to realize for common SPSS user. The informatics section describes the realisation of this post hoc test with the help of the .NET component with COM interface. This approach allows much wider use of the component, not only for the extension of the statistical tests. Another usage may be, for example, formation of the statistical procedure which is composed of several statistical tests and outputs according to the individual needs of the user.

Keywords:
statistics, Informatics, nonparametric tests, post hoc tests, cross tables, Kruskal-Wallis test, Mann-Whitney test, SPSS, .NET

Zdroje

[1] Peter Armitage, Geoffrey Berry Statistical Methods in Medical Research. 2002, John Wiley & Sons.

[2] Hendl, J. Přehled statistických metod zpracování dat. 2004, Praha: Portál.

[3] Jana Zvárová, Základy statistiky pro biomedicínské obory. 2006 EuroMISE centrum.

[4] SPSS Inc. Released 2006. SPSS for Windows, Version 15.0. Chicago, SPSS Inc.

[5] Raynald Levesque and SPSS Inc., SPSS Programming and Data Management. 2007, SPSS Inc.

[6] SPSS 14.0 Developer’s Guide. 2005 by SPSS Inc.

[7] IBM SPSS Statistics Input/Output Module. 2011, IBM.

[8] SPSS 15.0 Command Syntax Reference.

[9] Ilja Kraval Design Patterns v OOP. 2002.

[10] Gamma, Erich; Richard Helm, Ralph Johnson, and John Vlissides Design Patterns: Elements of Reusable Object-Oriented Software. 1995, Addison-Wesley. ISBN 0-201-63361-2.

[11] Charlie Calvert, Dinesh Kulkarni Essential LINQ, 2009, Pearson Education, Inc.