<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper gives a basic overview of relevant statistical methods for the analysis of bioimpedance measurements, with an aim to answer questions such as: How do I begin with planning an experiment? How many measurements do I need to take? How do I deal with large amounts of frequency sweep data? Which statistical test should I use, and how do I validate my results? Beginning with the hypothesis and the research design, the methodological framework for making inferences based on measurements and statistical analysis is explained. This is followed by a brief discussion on correlated measurements and data reduction before an overview is given of statistical methods for comparison of groups, factor analysis, association, regression and prediction, explained in the context of bioimpedance research. The last chapter is dedicated to the validation of a new method by different measures of performance. A flowchart is presented for selection of statistical method, and a table is given for an overview of the most important terms of performance when evaluating new measurement technology.</p></abstract>

This paper gives a basic overview of relevant statistical methods for the analysis of bioimpedance measurements, with an aim to answer questions such as: How do I begin with planning an experiment? How many measurements do I need to take? How do I deal with large amounts of frequency sweep data? Which statistical test should I use, and how do I validate my results? Beginning with the hypothesis and the research design, the methodological framework for making inferences based on measurements and statistical analysis is explained. This is followed by a brief discussion on correlated measurements and data reduction before an overview is given of statistical methods for comparison of groups, factor analysis, association, regression and prediction, explained in the context of bioimpedance research. The last chapter is dedicated to the validation of a new method by different measures of performance. A flowchart is presented for selection of statistical method, and a table is given for an overview of the most important terms of performance when evaluating new measurement technology.

Statistical methods for bioimpedance analysis

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Statistical methods for bioimpedance analysis"}

This paper gives a basic overview of relevant statistical methods for the analysis of bioimpedance measurements, with an aim to answer questions such as: How...

Statistical methods for bioimpedance analysis

Article Category: Tutorial Article

Published Online: Apr 16, 2014

Page range: 14 - 27

Received: Mar 05, 2014

DOI: https://doi.org/10.5617/jeb.830

Keywords
Statistics, research methodology, bioimpedance, data analysis, data reduction, parameterization, prediction, classification, performance, validation

© 2014 Christian Tronstad and Are H. Pripp, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Statistical methods for bioimpedance analysis

Article Category: Tutorial Article

Published Online: Apr 16, 2014

Page range: 14 - 27

Received: Mar 05, 2014

DOI: https://doi.org/10.5617/jeb.830

KeywordsStatistics, research methodology, bioimpedance, data analysis, data reduction, parameterization, prediction, classification, performance, validation

© 2014 Christian Tronstad and Are H. Pripp, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Statistics, research methodology, bioimpedance, data analysis, data reduction, parameterization, prediction, classification, performance, validation