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Comparing only Validated Data
To exclude “invalid hours” as determined by the Wear Time Validation tool, check the “use Validated Data if Available”
option in the Your Subject Data area. Doing so will exclude invalid whole hours that have been flagged in your datasets.
For more details, see
Wear Time Validation.
Filtering Data
Data comparisons are not limited to the entire scope of the datasets for NHANES and/or the user’s subject data. Use
the “NHANES Data Filter” section to isolate your comparison to subsets of data. Change the dropdown on the selected
parameter to “Custom” and enter in the custom range for the desired comparison. For Gender, choose either Male or
Female. For example, to compare your data strictly to 20 year olds in the NHANES program, change the “Age” filter to
20 to 29 as shown in Figure 58. Doing so will also eliminate any NHANES users who do not meet this qualification from
the other comparison groups. For instance, any NHANES users who are over 29 will be excluded from the weight
comparison.
Figure 58 – Custom Filtering for Data Comparison
Clicking the “Apply Filter to Your AGD Files” will apply the same filters to your own data. Leaving this option unchecked
will include the entire breadth of your own subject data when making comparisons. In the example shown in Figure 58,
all subject data (even outside of the age group limitation) will be compared across the 20-29 year old subjects within
NHANES. Checking the “Apply Filter to Your AGD Files” option would compare only 20-29 year olds in the subject data
to 20-29 year olds in the NHANES data.
Running the Comparison
To run the comparison, click the “Calculate” button after making all filter selections and subject metadata changes. A
subject comparison count will appear to the left of the “Calculate” button indicating how many subjects exist in the
NHANES study as compared to the user’s local study.
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