Sentence examples for detection of inconsistency from inspiring English sources

However, little is known about factors that impact on the detection of inconsistency.

The aim of this paper is to explore factors that affect the detection of inconsistency in a three-treatment network for a dichotomous outcome.

Although there are indications that the presence, magnitude and estimation method of heterogeneity might influence the detection of inconsistency, this association has not been studied extensively.

The main advantage of this work is that it sheds light on factors that might affect the detection of inconsistency and have not been examined in the past, such as the use of Knapp-Hartung variance for the direct summary effects.

This example has also been used by Krahn et al. [ 1] to illustrate their proposed methods for detection of inconsistency using a baseline contrast parameterization, so our results can be compared directly to that paper in order to appreciate the degree of agreement between both model formulations and the resulting tests and diagnostic checks for inconsistency.

This approach also enables the detection of inconsistencies by verifying the actions actual effects.

This paper presents a generic hybrid monitoring approach, which allows the detection of inconsistencies in the navigation of autonomous mobile robots using online-generated models.

Moreover, our proposal allows for the detection of inconsistencies, possibly occurring in tightly integrated ontology axioms and rules, with only little additional effort.

Heterogeneity inflates the type I error in the detection of inconsistencies by fixed-effect models.

In particular, a framework for representing phenotypes should enable the inference of consistent dependencies between different aspects in this network of dependencies, and provide for the detection of inconsistencies in the phenotypic description of an organism.

It serves as a tool for detection of inconsistencies in the NCBI protein database, helps to identify new mutations resulting in new SHV variants, and thus supports the investigation of sequence-function relationships of SHV β-lactamases.