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The objective of this paper is to provide basic principles for developing more ambitious experiments comparing the simultaneous influence of more than one or two parameters on various observations, taking advantage of convenient statistical and mathematical techniques for the treatment of measured data.
Simulations represent a convenient statistical
Moreover, these approaches go beyond simple phylogeny inference, providing a convenient statistical framework for further model selection and biological hypothesis testing.
Logistic regression is a convenient statistical tool when the dependent measure is dichotomous such as whether an individual does or does not have a particular disorder.
The time has come to move on, to begin making risk-based decisions founded more on actual biological data rather than on convenient statistical assumptions (Kathren 1996).
The database provides convenient statistical tools to evaluate the enrichment of GO (or phenotype, see below) categories compared to the genome or to the transcriptome represented on the microarray using an approach originally developed for GoMiner [ 28].
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The nomothetic approach does not require quantification as a convenient way of statistical modeling.
A convenient rate for a statistical test is to give more detailed characterization than "likely" when p-value > 0.05, or "unlikely" when p-value < 0.05.
An acceptance criterion should be based on the existing guidance, be convenient and be based on statistical principles that provide consistent and reasonable rejection rates.
Medicine, astronomy and, of course, psychology (courtesy of Facebook) have all been advanced by this convenient ability to separate the statistical wheat from the chaff.
As exemplified in Sections 4 to 6, this Bayesian view also allows for a convenient illustration of the underlying statistical dependencies of model-based approaches by means of Bayesian networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com