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Prior applications of information theory to medical decision making have largely focused on the evaluation of diagnostic tests, by determining the conditional probability of a disease state given the result of the test.
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Statistical significance was assessed by determining the odds ratio (OR) from a conditional logistic model for matched pairs and 95% confidence interval (CI) around the OR were obtained as margins of error.
The algorithm to determine the conditional importance measure generated by cforest explicitly takes into account the conditional relationships.
To determine the conditional probabilities for ill persons we divided these rates by the expected pandemic illness rates listed in section A. The conditional probabilities are presented in Table A2.
If Davidsonian event predication is part of the antecedent of a conditional, exemplification may come in more than once when determining the situations the conditional quantifies over.
The norms determine the conditions and constrains in controlling optional and conditional actions.
The NIC of the OSTAR-GARCH model determined by the conditional variance function in (4) and the tumbler transition function in (3) is represented as the black line in Fig. 2.
These expected values are determined by the conditional probability distribution over tag sequences, given the training corpus and the current HMM parameters, and can be obtained using the forward and backward probabilities as described above (and thus, conditioned on the entire corpus).
In other words, the complete solution to the parameter estimation problem is determined by the conditional probability density function of the states X, given the observed data Y, Pθ(X|Y), where θ is parameters.
Thus, the mixture proportions of QTL genotypes are determined by the conditional probabilities of QTL genotypes given marker genotypes.
For the ordinal data, the marginal distribution cannot be fully determined by the conditional distributions, and the full likelihood is unavailable.
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