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First, the differences between the footprint of eddy covariance (EC) measurements and the MODIS footprint, which is determined by the sensor's observation geometry make a direct comparison between both data sources challenging and second, the PRI reflectance bands are affected by atmospheric scattering effects confounding the existing physiological signal.
Irrespective of age, the difference between both data sources was more pronounced in male participants.
The overall agreement between both data sources using kappa statistics ranged widely from 0.01 (poor agreement) to 0.78 (excellent agreement).
Comorbidities that showed better agreement between both data sources were solid tumor [ 17], diabetes mellitus [ 25], connective tissue disease [ 17, 19], and chronic pulmonary disease [ 25].
*CURB = Constructed from 4 "core" adverse prognostic features: Confusion, Urea, Respiratory rate, Blood pressure [ 35] Table 2 shows the prevalence of the comorbidities obtained from medical charts and administrative data, and the agreement between both data sources.
The fact that the concordance between the two sources was more pronounced at the follow-up visit may be due to several factors, e.g. practice effects (on both the patient's and physician's part), compression of symptom evaluations at the follow-up visit in response to treatment (most patients got better), and/or a more comparable time referent between both data sources at the follow-up.
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Associations between variables from both data sources were examined, together with the variance explained by patient and consultation (level 1) and provider (level 2) factors.
Our study found that the degree of coverage of this variable was high for both data sources, but the agreement between the data sources was not as high.
However, when there was discrepancy between both information sources, data from cost diaries was used.
Because of variations in definitions of AFE used between countries and between data sources, we did not restrict our analysis to AFE defined using any one particular classification.
Because of variations in definitions of PPH used between countries and between data sources, we did not restrict our analysis to PPH defined using any one particular classification.
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CEO of Professional Science Editing for Scientists @ prosciediting.com