To have value, comparisons of high-throughput phenotyping methods need statistical tests of bias and variance.

ABSTRACT: The gap between genomics and phenomics is narrowing. The rate at which it is narrowing, however, is being slowed by improper statistical comparison of methods. Quantification using Pearson's correlation coefficient (r) is commonly used to assess method quality, but it is an often misleading statistic for this purpose as it is unable to provide information about the relative quality of two methods. Using r can both erroneously discount methods that are inherently more precise and validate methods that are less accurate. These errors occur because of logical flaws inherent in the use of r when comparing methods, not as a problem of limited sample size or the unavoidable possibility of a type I error. A popular alternative to using r is to measure the limits of agr

SUBMITTER: McGrath JM 

PROVIDER: S-EPMC10835710 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature