Measurements of Accuracy in Biostatistics

Haiying / HY Wang; Jyotsna Talreja Wassan; Huiru Zheng

doi:10.1016/B978-0-12-809633-8.20355-5

Measurements of Accuracy in Biostatistics

Haiying / HY Wang, Jyotsna Talreja Wassan, Huiru Zheng

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Abstract

Due to the nature of biological and medical data, biostatistics has been playing an increasing role in a wide range of applications in biology and medicine. The aim of this article is to provide insights on some basic concepts and measurement procedures used in biostatistics. The amphasis has been placed on the application of biostatistics in the realm of classification aiming to design a good prediction model. Various statistical metrics and significance tests used to evaluate the performance of a predictor have been discussed. It has been highlighted that the interpretation of the values of these metrics should be cautious when applied to biological domain especially when dealing with highliy imbalanced datasets.

Original language	English
Title of host publication	Encyclopedia of Bioinformatics and Computational Biology
Editors	Shoba Ranganathan, Michael Gribskov, Kenta Nakai, Christian Schönbach
Publisher	Elsevier
Pages	685-690
Number of pages	6
Volume	1
ISBN (Electronic)	9780128114148
ISBN (Print)	9780128114322
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20355-5
Publication status	Published (in print/issue) - 6 Sept 2018

Keywords

Accuracy
Area under the ROC curve (AUC)ClassificationReceiver operating characteristic (ROC) curve
Classification
Receiver operating characteristic (ROC) curve
Test of Significance

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10.1016/B978-0-12-809633-8.20355-5

20180105.155052.519-Measures_of_accuracy_in_biostatistics_Zheng et alAuthor Accepted Manuscript, 288 KB

Cite this

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KW - Area under the ROC curve (AUC)ClassificationReceiver operating characteristic (ROC) curve

KW - Classification

KW - Receiver operating characteristic (ROC) curve

KW - Test of Significance

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Measurements of Accuracy in Biostatistics

Abstract

Keywords

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