Department of Biomedical Institute for Convergence at SKKU, Suwon, South Korea
Research Article
Sampling Statistical Errors in Big Data Research: 3 Cases of Breast
Cancer Research
Author(s): Han-Jun Cho* and Eui Seok Jeong
Breast cancer is a major cause of female death, and various big data analysis methods have been applied to breast
cancer. This study lists cases in which big data analysis was applied to breast cancer research. In addition, statistics
and percentages from each specific sample were proposed. However, research on the use of big data has a blind spot
that relies on sample characteristics. Therefore, before sampling big data, statistical inference should be discussed
more precisely through pre-examination and sample statistical errors should be reduced by professional statistical
evaluation of the analysis method. In particular, the control and experimental groups should be statistically equivalent .. View more»