Measurement Errors and their Influence on Biomedical Research | Demonstrated on an Example of Research on Equine Pulmonary Gas Exchange.

Sebastian Gehrig (u. a.)

ISBN 10: 3838153995 / ISBN 13: 9783838153995

Published by Südwestdeutscher Verlag für Hochschulschriften, 2017

About this Item

Measurement Errors and their Influence on Biomedical Research | Demonstrated on an Example of Research on Equine Pulmonary Gas Exchange. | Sebastian Gehrig (u. a.) | Taschenbuch | 68 S. | Deutsch | 2017 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838153995 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 109727804

Bibliographic Details

• Title: Measurement Errors and their Influence on Biomedical Research | Demonstrated on an Example of Research on Equine Pulmonary Gas Exchange.
• Publisher: Südwestdeutscher Verlag für Hochschulschriften
• Publication Date: 2017
• Language: German
• ISBN 10: 3838153995
• ISBN 13: 9783838153995
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 119 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The influence of systematic and random errors on measurement results is a well-known phenomenon in physical, technical and engineering measurement processes. While most human as well as veterinary clinicians and researchers (who process large numbers of measurements every day) are aware of accurate calibration and therefore the minimisation of systematic errors, the influence of random errors on the results of their measurements, and therefore on their conclusions and decisions is not considered. A large number of examples which prove the influence of measurement errors on clinical decisions and research can be found in literature. Wrong conclusions can erroneously prove or reject hypotheses or lead to inadequate treatment of patients. This publication analyzes results of a scientific experiment in order to highlight possible influence of measurement errors on biomedical research. We are grateful to Dr. Tichy (VetMed Uni Vienna) for his support with the statistical analysis.