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Determining the optimal prediction model for a collection of multiple biparental families, as is commonly encountered in both academic genetic studies and commercial breeding programs, is important for maximizing precision of QTL mapping and accuracy of genome-enabled prediction.
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The method aimed at minimizing manual sample manipulations and possible sample losses through off-line cleanup, thus maximizing precision.
The sample size was selected to maximize precision of STI prevalence estimates and for feasibility considerations.
Finally, the GBP and GBA scores were combined for each GO term via a logistic regression model optimized to maximize precision vs. recall (PR) performance (see Materials and Methods), resulting in the human function (HF) set of quantitative confidence scores.
After being scrutinized for convergence, tree and parameter files from separate runs were then concatenated to maximize precision.
Methods used to collect CVS data did not employ a stratified-random design to maximize precision and minimize bias.
For the purpose of data collection, we defined the following four sets of species: Reduced set consisting of only 40 species was adopted to avoid eventual habituation of the respondents and thus maximize precision of the assessment.
We tried to maximize precision by using a piezoelectric pedometer.
The FSI was developed to maximize precision while minimizing patient burden and recall bias.
Because rare alleles cause less upward bias in for large S, if sample size is about 100 or larger users might consider using Pcrit = 0.01 to maximize precision with relatively little cost in terms of bias.
To maximize precision half of the study population would be exposed and half would have the outcome of interest.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com