Sentence examples for fallacious result from inspiring English sources

Exact(1)

However, it has been pointed out that the use of weight as an adjustment for the effect of fat mass on BMD is not appropriate and could yield fallacious result, because fat mass is a component of, and is therefore highly correlated with, body weight [ 27].

Similar(58)

However, relying purely on physical examination or the measurement of the cranio-caudal span of liver on CT to detect enlargement can often produce fallacious results, especially on initial evaluation.

We consider a distributed system consisting of a master process and a collection of synchronous worker processes that can execute tasks on behalf of the master and that may act nefariously by deliberately returning fallacious results.

Such fallacious reasoning results in the data being inaccurately presented, and false conclusions are inevitable.

For example, in The Concept of Mass, Jammer says: "It is a curious incident in the history of scientific thought that Einstein's own derivation of the formula E = mc2, as published in his article in Annalen der Physik, was basically fallacious...   the result of a petitio principii, the conclusion begging the question" (Jammer, 1961, p. 177).

Another important and pioneering finding of the present study was the demonstration that unintentional fallacious staging could result in significant misinterpretation of survival outcomes in patients with LAPC.

So Fitch's result is fallacious owing to an illicit substitution into a modal context.

Additionally, the finding that misallocation of subjects based on their genetic constitution, modeled here according to CCL3L1-CCR5 genotypes, might result in fallacious estimates of a vaccine's efficacy, has relevance for several reasons.

Thus, in addition to (again) resulting in fallacious, bizarre conclusions, the other side of this disjunction makes you an anti-American bigot.

The essentially fallacious approach of dichotomizing study results based on whether the P value exceeds a prespecified value of 0.05 or not, is still dominating several disciplines, including epidemiology, clinical medicine, psychology and the social sciences.

Power calculations are both applauded as key to proper study management through prior estimation of appropriate sample sizes [ Lenth, 2001, 2007] and derided as fallacious when interpreting non-significant results [ Hoenig and Heisey, 2002].

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