Trials and tribulations of statistical significance in biochemistry and omics.
Trends Biochem Sci
; 48(6): 503-512, 2023 06.
Article
in En
| MEDLINE
| ID: mdl-36842858
Over recent years many statisticians and researchers have highlighted that statistical inference would benefit from a better use and understanding of hypothesis testing, p-values, and statistical significance. We highlight three recommendations in the context of biochemical sciences. First recommendation: to improve the biological interpretation of biochemical data, do not use p-values (or similar test statistics) as thresholded values to select biomolecules. Second recommendation: to improve comparison among studies and to achieve robust knowledge, perform complete reporting of data. Third recommendation: statistical analyses should be reported completely with exact numbers (not as asterisks or inequalities). Owing to the high number of variables, a better use of statistics is of special importance in omic studies.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Trends Biochem Sci
Year:
2023
Document type:
Article
Affiliation country:
Spain
Country of publication:
United kingdom