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Random forest code was written in Java for this study, and all statistical analyses (e.g., model performance estimates) were performed using R.
All analyses were performed using SAS® PROC MIXED [ 7] with Maximum Likelihood estimation, and tests of parameter estimates were performed using likelihood ratio tests.
All statistical analyses and ROC estimates were performed using Splus (Version 6.1, Insightful Corp., Seattle, WA).
All estimates were performed using a 100× objective on an Olympus BX-50 microscope (Tokyo, Japan).
Size estimates were performed using the method of Bohnsack and Bannerot [25] and recorded in 5 cm size intervals.
Bacterial inoculation, sampling, and CFU estimates were performed using procedures and conditions described previously [ 28- 30].
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Current pediatric absorbed dose estimates are performed using adult pharmacokinetic data with S values that account for the anatomical differences between adults and children.
The calculation of combined estimates was performed using the Mantel-Haenszel method.
Receiver operating characteristic (ROC) analysis of the sensitivity and specificity of these estimates was performed using STATA 7.0 (College Station, TX, USA).
To statistically explore heterogeneity, a meta-analysis for the prevalence estimates was performed using the known HIV statuses from the publications.
Principle coordinate analysis based on these distance estimates was performed using NTSYS, using consecutive commands of 'DCENTRE' and 'EIGEN' in order to generate a PCoA plot which is more informative in highlighting differences between major taxonomic groups than dendrogram representations.
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