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Corrections using such clinical information can greatly improve inference in determining markers for disease, as well as elucidating patterns within the disease.
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Therefore, appropriate statistical adjustment using such demographic and clinical information is critical in order to improve inferences in determining putative genes and biological pathways in psychiatric disorders.
Thus, if explanatory considerations have a role in determining which inferences we are licensed to make as according to defenders of abduction they have—then we might still be warranted in believing in the truth (or probable truth, or some such, depending as will be seen below on the version of abduction one assumes) of one of a number of hypotheses that all make the same predictions.
Subsequent to finding the marked network enrichment score, we relaxed the cutoffs in three ways, intra-population consistency criterion, P-value cutoff and multiple test correction (see Materials and Methods for more detail) in determining the statistical inference of the additional genes in the Immortalization Network, for the Illumina Platform only.
The type of control used is a major factor in determining the strength of inference that the outcomes were due to the delivery system.
These numerical investigations reinforce inferences from the experimental studies that classical stability theory is less useful in determining whether instabilities will form and what their shape will be.
The GNW inference improvement profile is relatively uniform, while the GSP inference improvement profile was clearly skewed toward the sparse end, indicating that the prior was helpful in determining which links to keep in a sparse network.
In determining whether a suspicion about you is "reasonable," a "nominator" must "rely upon articulable intelligence or information which, taken together with rational inferences from those facts," can link you to possible terrorism.
The Z-test was used in inference to determine whether the number of genes affecting relevant pathways in ASD was statistically significant.
We aim to test such inference in practice and determine the power of generalized growth detection and the sample size needed for accurately recovering the growth speed parameter as well as other parameters of the demographic model.
In the inference part, after determining the error associated with each fuzzy rule, the rule with the highest error is identified and refined.
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