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Figures were produced using data from a Least Squares Means statement within the models (PROC MIXED; LSMEANS), such that the models predicted eGFR given a particular value of HDLC (evaluated at 30, 40, and 50 mg/dl) and genotype (GG or AG/AA) with all other terms set to their mean values.
Briefly, for each PRT or ratio measurement, Gaussian models of measurement error (based on empirical observations) were used to estimate the probability of producing the actual measurement, given a particular value for the true gene copy number between 2 and 16.
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Each controlling flow is given a particular 'flow value' to ensure that different controlling flows are isolated from one another so that only those flows that are intended for particular devices would be installed.
The model outputs have also been expressed in terms of 'decision uncertainty' using cost-effectiveness acceptability curves (CEACs) which show the probability of each therapy being cost-effective given a particular threshold value for cost-effectiveness [ 23].
Using the concepts and notation developed by Storey and Tibshirani [ 43], a false discovery rate given a particular threshold value α is the expected proportion of false positives (F) in all positive calls (S), which can be written as The last approximation can be shown to be valid if the number of genes tested is large [ 43].
These functions calculate the relative likelihood that a given variable will have a particular value, which then places constraints on the planned dose distributions to reduce the overall variance from this source of uncertainty.
The first task is to predict the PSI value given a particular tissue type and a set of genomic features.
Given a particular experimental design and the population value of h, its sampling variance can be determined using a number of methods.
But Pryce's economics background will give her book a particular value.
This cumulative distribution function makes it possible to calculate credible intervals and the probability that the effect studied is lower or higher than a particular value, given the data and prior probabilities.
In particular, the posterior distribution can be legitimately used to give the probabilities that the parameter of interest is contained in various regions of the parameter space (a 95% credible interval, for example), or exceeds a particular value, given the data observed and prior knowledge.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com