Epigenomics
Missing-data choices affect aging clocks in human blood
Computational tests on 4,798 blood samples found that replacing missing readings with zero produced stronger bias that varied with the size of aging-clock estimates.Computational tests on 4,798 blood samples found that replacing missing readings with zero produced stronger bias that varied with the size of aging-clock estimates.
Computational studyBiomarkers
Who was studiedBlood samples from US adults, against other imputation methods
What changedReplacing missing readings with zero increased bias in aging-clock estimates compared with other imputation methods
The catchThe analysis did not measure which clock best captured biological aging