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In the standard logistic model, age was included as single linear term whereas the matched analysis did not depend on this assumption, possibly explaining differences reported in results and statistical significance.
Like the systolic model, age was the only significant covariate.
When controlled for the other variables in the final model, age was significantly related to HAPU.
In the fully-adjusted model, age was strongly associated with time-inappropriate Pap smear use.
When education level was included in the above model age was no longer significantly associated with interview time.
In the cervical fracture model, age was also added as a covariate but was not included in the final model.
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The model age is estimated to be ∼3.0 Ga, younger than the Imbrian-Eratosthenian boundary.
This is so because, in the stock-flow model, age is counted from January 1 in the year of first registration to December 31 in the scrapping year.
In the TRISS model, age is dichotomised (< 54 years or ≥ 55 years).
In the risk factor model, age is an independent non-modifiable risk factor and the predictive power of age far outweighs that of the other risk factors.
In a mouse model, aging was associated with increased expression of SPARC and increased insoluble and fibrillar collagen content, which related to increased cardiac stiffness [ 2].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com