Measurements of Accuracy in Biostatistics

Haiying / HY Wang, Jyotsna Talreja Wassan, Huiru Zheng

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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 languageEnglish
Title of host publicationEncyclopedia of Bioinformatics and Computational Biology
EditorsShoba Ranganathan, Michael Gribskov, Kenta Nakai, Christian Schönbach
PublisherElsevier
Pages685-690
Number of pages6
Volume1
ISBN (Electronic)9780128114148
ISBN (Print)9780128114322
DOIs
Publication statusPublished - 6 Sep 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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    Wang, H. . HY., Wassan, J. T., & Zheng, H. (2018). Measurements of Accuracy in Biostatistics. In S. Ranganathan, M. Gribskov, K. Nakai, & C. Schönbach (Eds.), Encyclopedia of Bioinformatics and Computational Biology (Vol. 1, pp. 685-690). Elsevier. https://doi.org/10.1016/B978-0-12-809633-8.20355-5