Mehta Tapan, Tanik Murat, Allison David B
Department of Biostatistics, Section on Statistical Genetics, Ryals Public Health Building, Suite 327, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, Alabama 35294, USA.
Nat Genet. 2004 Sep;36(9):943-7. doi: 10.1038/ng1422.
A sound epistemological foundation for biological inquiry comes, in part, from application of valid statistical procedures. This tenet is widely appreciated by scientists studying the new realm of high-dimensional biology, or 'omic' research, which involves multiplicity at unprecedented scales. Many papers aimed at the high-dimensional biology community describe the development or application of statistical techniques. The validity of many of these is questionable, and a shared understanding about the epistemological foundations of the statistical methods themselves seems to be lacking. Here we offer a framework in which the epistemological foundation of proposed statistical methods can be evaluated.
生物学探究的坚实认识论基础部分源于有效统计程序的应用。这一原则被研究高维生物学新领域或“组学”研究的科学家广泛认可，该领域涉及前所未有的规模的多样性。许多针对高维生物学领域的论文描述了统计技术的发展或应用。其中许多技术的有效性值得怀疑，而且似乎缺乏对统计方法本身认识论基础的共同理解。在此，我们提供一个框架，可用于评估所提出的统计方法的认识论基础。
