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We have primarily reported likelihood ratios in this review as they are thought to be more clinically meaningful than sensitivities and specificities, the use of likelihood ratios allowing us to determine post test probabilities of disease based on Bayes' theorem.
However, there is paucity of literature on the use of likelihood ratio and posterior probability in sex inference from minutiae density.
For moderate to large sample sizes, the use of likelihood equations by setting (beta = {tilde beta }_{2}) (i.e., Method 2) is recommended.
To supplement this analysis, we reanalyze mitochondrial sequence and microsatellite data from Mediterranean populations [19] by fitting them to a coalescent-based Isolation with Migration (IM) model [16], [17], which estimates demographic parameters in recently diverged populations and allows the use of likelihood ratios to test the significance of nested models that include or exclude gene flow.
Strategies were assessed and compared by use of likelihood ratios.
The use of likelihood ratios not only reflects the information on sequence tag associations, but also the background distribution information.
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The estimation of target and clutter signal parameters by the use of likelihood-ratio-tests is considered in [10] to reduce the level of clutter in surface penetrating impulse radars.
For these applications, there should be mandatory use of likelihood-based approaches that take allele frequencies, mutation rates and the presumed degree of relatedness properly into account [34].
The reason for this success is the use of likelihoods to quantify fluctuations caused by noise.
The advantages of plausible values have been illustrated by comparing the use of maximum likelihood estimates and plausible values (PV) for estimating a range of population statistics.
We consider the use of the likelihood function (20) using standard statistical methodology.
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