title: A note on age-related biomarkers.
abstract: Forty-eight randomly selected age-related human biological functions were analyzed in order to establish whether or not their (linear) regressions were modified by age-related standard errors. Possible reasons for this are advanced. Statistically significant multiple regressions were obtained in 25%, and 21% of the functions yielded statistically significant changes in the correlations between data and age when partial correlation coefficients were calculated. The conclusion is that age-related data need to be subjected to the above tests in order to minimize confounding factors.
authors.affiliation: Institute of Gerontology, King's College London (University of London), Waterloo Bridge Wing, Waterloo Rd., London SE1 9NN, UK. robert.weale@kcl.ac.uk
authors.forename: Robert A
authors.initials: RA
authors.lastname: Weale
mesh_terms: D000367:Age Factors; D000375:Aging / Q000502:physiology*; D015415:Biomarkers; D005260:Female; D005853:Geriatrics / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D012044:Regression Analysis; D012107:Research Design / Q000706:statistics & numerical data
chemical_list: D015415:Biomarkers