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Improving the methods that studies and care systems utilize to monitor linkage to and retention in care and adherence to ART will strengthen findings of intervention effectiveness.
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Ours are the first methods that study the Minkowski sum under this type of transformation.
Using phylogenetic methods, that study analyzed 105 of 107 sequences previously published by Young et al. (2010).
Prior studies have performed CC morphometry using well-established methods that have studied boundary thickness [ 25] or areas of regional parcellations [ 26]–[ 29].
Fortunately, there are methods that can study weak interactions quite efficiently of which NMR, surface plasmon resonance (SPR) and X-ray crystallography are the most prominent.
Current methods that can study these interactions are inadequate for formalin-fixed, paraffin-embedded (FFPE) tumor samples.
Research methods that have studied epidemiology of diagnostic error provide some estimate on diagnostic error rates.
Therefore, development and application of statistical methods that allow studying phenotypic variability are required for a better understanding of the genetic architecture of complex traits [ 1– 4].
All four evaluation methods consider that study endpoints should be stated and described.
To ensure this assessment of surveillance data was comparable to the study that validated Google Flu Trends [2], we performed a secondary analysis replicating methods from that study with our dataset.
Data and methods from that study are described elsewhere (19).
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CEO of Professional Science Editing for Scientists @ prosciediting.com