Revisiting Statistical Design and Analysis in Scientific Research

Kyeong Rok Choi; Jae Yong Ryu; Sang Yup Lee

doi:10.1002/smll.201802604

Revisiting Statistical Design and Analysis in Scientific Research

Small. 2018 Oct;14(40):e1802604. doi: 10.1002/smll.201802604. Epub 2018 Sep 6.

Authors

Kyeong Rok Choi^{1

2

3}, Jae Yong Ryu^{1

2

3}, Sang Yup Lee^{1

2

3}

Affiliations

¹ Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 plus program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
² Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, KAIST, Daejeon, 34141, Republic of Korea.
³ BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, Daejeon, 34141, Republic of Korea.

PMID: 30256531
DOI: 10.1002/smll.201802604

Abstract

Statistics is essential to design experiments and interpret experimental results. Inappropriate use of the statistical analysis, however, often leads to a wrong conclusion. This concept article revisits basic concepts of statistics and provides a brief guideline of applying the statistical analysis for scientific research from designing experiments to analyzing and presenting the data.

Keywords: data presentation; hypothesis testing; regression; statistical analysis; statistics.

Publication types

Review
Research Support, Non-U.S. Gov't