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We used a least squares means procedure to compare outcomes between exenatide and placebo.
We used SAS 9.2 for data analysis, and calculated means and percentiles of the EDCs and demographic factors by use of the PROC SURVEYMEANS (weighted geometric means) procedure to account for the complex sampling design of NHANES.
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Least squares means procedure was then used to compare treatment means at each time point.
Cheng et al. applied a recursive mean procedure to compute background images[3].
The stability (reproducibility) was evaluated by randomly dividing the dataset into 2 halves and applying the k-means procedure to both halves separately.
In addition, least square (LS) means procedures were used to calculate means and standard errors and pairwise t-tests for multiple comparisons were estimated by using the Tukey test.
By "variable selection" we mean a procedure to replace the whole trajectories of the functional explanatory variables with their values at a finite number of carefully selected instants (or "impact points").
We then applied a k-means clustering procedure to the virtual site coordinates in the factorial space provided by the FAMG.
We then ran a simple nearest-mean classification procedure to decode syllable identity corresponding to each theta chunk from the spike counts of all Ge neurons (see 'Classification analysis' below).
This may mean dental procedures to remove broken or rotten teeth, eye examinations to check for evidence of cataracts, abdominal surgery to remove damaged and diseased gall bladders and radiographs to document and appropriately treat the arthritis that develops from years of confinement.
Meanwhile, compared with past experimental means, a measurement procedure to eliminate the adapter's mass effect on torsional and axial receptances is designed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com