The phrase "age data over" is not correct and does not make sense in written English.
It seems to be an incomplete or unclear expression, and without additional context, it is difficult to determine its intended meaning.
Example: "We need to age data over a period of five years to analyze trends."
Alternatives: "process data over" or "analyze data over".
This paper is built around the premise that the sharp increase in autism seen in constant-age tracking data over recent decades logically must be driven by a corresponding increase either in a single environmental exposure or in the collective influence of multiple environmental exposures.
We used national age-specific notification data over the period 1996 2000 corrected for underreporting to calibrate the model assuming a steady state situation.
In a second step, we adapt various bi-dimensional statistical models to these surfaces of data over age and time.
In our population-based screening study we evaluated data over a broader age range (25 65 years), and included individuals from entirety rural area around Anyang.
Analyzing 35,000 intubations of adults over age 65, data gathered from 262 hospitals between 2008 and 2015, Dr. Ouchi and his colleagues found that a third of those patients die in the hospital despite intubation (also called "mechanical ventilation").
The baseline assessment took approximately 60 min for the caregiver and 30 min for children over age 8. Data was not collected directly from children younger than age 9, but was instead collected from the caregiver.
The sensitivity and specificity of the test in children under six and in those aged six and over were similar (data not shown).
An age over 60 years (data not shown) and longer practice attachment (Table 4) correlated with an affirmation to the question: "My doctor spent more time".
Data from persons aged 55 and over were drawn from two community cohorts sampling from across urban to very remote areas.
