Sentence examples for types of discrepancy from inspiring English sources

Whether some types of discrepancy are particularly strong markers of trial report unreliability independently therefore remains uncertain.

This reanalysis that separated the types of discrepancy did not have power to adequately test each type individually.

For types of discrepancy that did not show a significant difference, the direction of the trend was in each case towards more discrepancies in the retracted trial reports.

It is also unknown whether some types of discrepancy imply a mechanism (for example, fabrication) and should be considered especially concerning.

In particular, three types of discrepancy arose significantly more frequently in retracted than unretracted reports: factual discrepancies (P=0.002), arithmetical errors (P=0.01), and missed P values (P=0.02).

There were many types of discrepancy, as shown by the examples in table 1. Table 2 shows examples from the trials of phenomena that are unusual but were not counted as discrepancies.

In addition, a radial basis neural network is employed to create a model capable of distinguishing these types of discrepancies.

However, a bigger problem is that the remaining types of discrepancies can be interpreted as ambiguities in the interpretation of input SDF files.

There were three types of discrepancies: none, text (between two ideas in the text) and text and graph (between the text and graph).

These types of discrepancies (underestimation/overestimation) in the IRI model are quite consistent with the earlier studies (Coisson et al. 2008; Aggarwal 2011; Venkatesh et al. 2011; Kumar et al. 2012, 2014a, b).

In both organisms we find evidence for high excess of A/G-type discrepancies (inosine appears as a guanosine in cloned cDNA) at non-polymorphic, non-synonymous codon sites over other types of discrepancies, suggesting the existence of several thousand recoding editing sites in the human and mouse genomes.