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Airborne Light Detection and Ranging (LiDAR) and Landsat data were evaluated as auxiliary information with the intent to increase the precision of growing stock volume estimates in field-based forest inventories.
Data were evaluated as a randomized complete block design with sex as block using the preplanned contrasts of CON versus VITE, VITE versus oil (mean of ELA and ELNA), and ELA versus ELNA.
The data were evaluated as Median Fluorescence Intensity (MFI) using appropriate curve-fitting software (Luminex 100IS software version 2.3).
Data were evaluated as of April 2010.
Data were evaluated as statistically significant with P values < 0.05.
Visual field data were evaluated as a secondary outcome measure and not utilized for decision-making during the conduct of the trial.
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Vickers microhardness data were evaluated at room temperature in as-produced and polished compacted specimens.
The measured data are evaluated as a function of the elevation angle.
The constant distance data was evaluated as previously described.
We used Sprent's equation [ 21] to find statistical outliers in sample replicate experiments: | X i − M | M A D > M a x where X i is molecular expression data being evaluated as a potential outlier, and M is the median of the molecular expression data in all samples.
Demographic data, such as age and sex, were evaluated, as well as cardiovascular risk factors.
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