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4 A positive, hypothesis testing analysis can directly influence patient care whereas a positive hypothesis generating analysis only calls for confirmatory research.
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Non-Hodgkin lymphoma has been hypothesized both to be inversely and positively associated with solar UV-B exposure, with the positive hypothesis based on an observed comorbidity with certain skin cancers [ 27].
The corresponding positive hypothesis that possession of a polynomial time decision algorithm should be regarded as sufficient grounds for regarding a problem as feasibly decidable was first put forth by Cobham (1965) and Edmonds (1965a).
Our findings are clear in that they do not show any support for the negative hypothesis and they show substantially greater support for the positive hypothesis than for the status quo hypothesis.
Our final hypothesis is derived from prior theoretical work that suggests that both basic and applied research is greater when faculty can benefit from commercialization of their research effort; we refer to this as the positive hypothesis.
Because many biomarkers are tested, there are issues regarding inflation of false positive hypothesis tests due to multiple testing.
Although the catch-all hypothesis may lack objective likelihoods, the influence of the catch-all term in Bayes' theorem diminishes as additional positive hypotheses are articulated.
So, we have: Notice that if a catch-all hypothesis is needed, the likelihood of evidence relative to it will not generally enjoy the same kind of objectivity as the likelihoods for specific, positive hypotheses.
Afterwards, the following process is iterated for each training sample: In cases where the sample has a positive label, each hypothesis in G which rejects the sample is eliminated and boundaries in S become generalized enough to accept the sample.
Modification of boundaries in G must be conducted in such a way that G becomes specialized as minimally as possible and boundaries in G stay more general than boundaries in S. In cases where the sample has a positive label, each hypothesis in G which rejects the sample is eliminated and boundaries in S become generalized enough to accept the sample.
Svensson's method for analyzing agreement in paired ordinal data was used to study test-retest reliability (hypothesis: no change in the dialysis group) and responsiveness (hypothesis: a positive change, improvement, in the cardiac rehabilitation group).
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