Sentence examples for positive inference from inspiring English sources

Exact(7)

The Problem of Universally Positive Inference.

It means that the performance of IAL2 is significantly affected by false positive inference of F in steps 1 and 2 because of unknown F.

When the disequilibrium was absent in either of the populations (populations 1 6), all three methods shared a low probability of making false positive inference using case and control samples from these populations separately (Table  4).

On the one hand, this provides a natural way to incorporate samples from multiple resources into the association study, and thus effectively removes the risk of false positive inference due to the genetic structure.

Thus, the positive inference we attributed to four trials in this category cannot be regarded as admissible evidence; the spuriously large treatment effect evidenced in two of the trials reinforces those serious concerns.

Based on the simulation data analysis and analysis with the Parkinson disease case and control sample, we demonstrate that the likelihood based approach outperforms the trend test and logistic regression methods for an increased statistical power and reduced false positive inference, which are popularly implemented in the GWAS literature.

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Similar(52)

None of the interpretations of the 'no counter-example' definition considered by Gaṅgeśa can solve the problem of universally positive inferences, and Gaṅgeśa accordingly rejects them all.

In particular, the presence of trees has been associated with positive inferences about product value and quality as well as customer service and a greater willingness to pay more for products (Wolf 2005).

Restricting our investigation to the recurrent modules is expected to reduce false positive inferences but may miss some interesting biological phenomena.

A false detection rate correction (also with cut-off set to 0.05) was also used to generate a larger set of events that includes a small proportion of false positive inferences.

In general, V-Phaser 2 has better specificity compared to V-Phaser, which is due to the inclusion of the strand bias test in the former that eliminated many false positive inferences.

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