Twelve (12) camp leaders were chosen using a systematic sampling (sampling interval of 13) to give us a sample size of about 8% of camps.
107 diseases, 62 medications, and 46 symptoms were chosen using evidence based approaches.
The optimal cut offs were chosen using a receiver operating characteristic curve (ROC) analysis and identifying the maximal Youden's index.
A total of 10 single-site mutants were chosen using the PoPMuSiC program, and two mutants of K253N and P314T showed enhanced thermal stability.
Sample areas were chosen using a stratified random design based on the Public Land Survey grid with in the target counties, in several clusters across the region.
Hypotheses of independent climate, land use, luxury and legacy effects were evaluated with residual regression analysis and best models were chosen using AIC.
The two peptides were chosen using a semi combinatorial virtual technique by generating 4 cycles of peptide libraries (around 2.3×104 elements).
These three mutation strategies were chosen using a roulette wheel selection method in order to avoid the expensive computational costs of searching by a trial-and-error procedure.
Gene specific primers were chosen using Primerbank (pga.mgh.Harvard.edu/primerbank).edu/primerbank
The vessels for cannulation were chosen using two criteria.
Tagging SNPs (tSNPs) for candidate genes were chosen using Tagger server (http://www.broad.mit.edu/mpg/tagger/server.html).html
