A Note on Age-Related Biomarkers
Заметка о возрастных биомаркерах
2005-01-01
SCID: 54.1/bj48h2b7
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age-related biomarkersage-related human biological functionsconfounding factorslinear regressionpartial correlation coefficients
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Abstract (AI)
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.
Key Findings
1
Age-related data should be tested for regression modification and changes in correlations to minimize confounding factors.
2
Analysis of 48 randomly selected age-related human biological functions assessed whether linear regressions were modified by age-related standard errors.
3
Statistically significant changes in the correlations between data and age, using partial correlation coefficients, were observed for 21% of the functions.
4
Statistically significant multiple regressions were found for 25% of the analyzed functions.
Research Object
Age-related human biological functions (48 randomly selected functions)
Research Subject
Effects of age-related standard errors on linear regressions and correlations between these biological functions and age, including changes detected by multiple regression and partial correlation analyses
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2005-01-01
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