Revisiting Statistical Design and Analysis in Scientific Research
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Meta-analysis and systematic reviews
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
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
Systems Metabolic Engineering and Systems Healthcare Cross‐Generation Collaborative Laboratory KAIST Daejeon 34141 Republic of Korea
BioProcess Engineering Research Center and BioInformatics Research Center KAIST Daejeon 34141 Republic of Korea
Funding
Ministry of Science ICT and Future Planning · National Research Foundation of Korea
References (7)
Show source-provided references
1. 10.1080/00031305.2016.115410810.1080/00031305.2016.1154108 ↗
2. Dixon W. J. · 1983
3. Hayter A. J. · 2013
4. Fischer H. · 2010
5. 10.1093/biomet/6.1.110.1093/biomet/6.1.1 ↗
6. 10.1017/S008045680001216310.1017/S0080456800012163 ↗
7. 10.4103/0976-500X.11972610.4103/0976-500X.119726 ↗