From a computational perspective, intentions are causal inferences made from a series of events and a series of prior, linked intentions.
A proposal was made for the introduction of a "skepticism factor" during the regulatory evaluation process, which would allow one to weigh the assumptions underpinning the extrapolation or inferences made from a model taking into account the degree of confidence one has in those assumptions.
The assumption of PH is central to Cox PH analysis, and if violated, inferences made from an analysis may be incorrect.
I will begin by examining Peirce's account of the self insofar as it concerns personal identity, demonstrating that the concept of self is, like all other supposed knowledge, merely an inference made from experience, and not an unmediated intuition.
As Zumbo BD has pointed out, the feature being validated is the inferences one makes from a measure assuming that inferences made from all empirical measures, irrespective of their apparent objectivity, have a need for validation.
The inference made from one intuitive cognition is not always correct, even if the intuition itself remains reliable.
The inference made from the porB gene was similar to that observed with the housekeeping genes.
Because there was presumably no systematic loss in precision (true discovery rate), any GWAS inference made from (CC) or (MI*) was still deemed valid in this study.
According to current trends, measurement or test score validation is an ongoing process wherein one provides evidence to support the appropriateness, meaningfulness and usefulness of the specific inferences made from scores about individuals from a given sample in a given context [ 25].
The overall purpose of the present study was to examine the validity of inferences made from the IDUQOL by examining the (a) dimensionality, (b) reliability of scores, (c) criterion-related validity evidence, and (d) both convergent and discriminant validity evidence.
Furthermore, multifunctionality often blurs the possible functional inferences made from sequence similarity searches10 and current algorithms rarely identify additional functions with a high confidence score11, hindering conclusive predictions.
