Sentence examples for scientific robustness from inspiring English sources
We advocate the use of this method, in the interests of scientific robustness and animal welfare.
Increasing the number of studies that use randomized controlled trials or quasi-experimental designs will increase the scientific robustness.
Scientific robustness by itself didn't boost the odds a fishery would be sustainable, say Camilo Mora of Dalhousie University in Halifax, Canada, and his co-authors.
When pursued, such research priorities can result in data that subsequently improve the scientific robustness of risk assessments and inform future risk management decisions.
It is our hope that these recommendations will form the basis for subsequent consensus workshops and other scientific activities designed to improve the scientific robustness of data interpretation for classification and labeling.
The courses of these COEs should aim to incorporate training on the use of public assessment reports or inspection reports issued by the stringent authorities to identify elements that matter in order to conduct appropriate benefit-risk assessments and reach sound regulatory decisions without compromising on scientific robustness.
In either case scientific rigour, robustness and objectivity would be principles trusted by both researchers and policy-makers.
The question of scientific validity present in REACH is related to the fourth OECD principle, which addresses the measurements of goodness-of-fit, robustness, and predictivity.
Worst of all, this system reinforces the dogma that the quality of science is best gauged not from the importance of the scientific question or robustness of the methodology, but from the results.
Concepts have been developed on how to select organisms from the receiving environments which would not dramatically increase the complexity of the ERA but significantly increase the scientific rigour and robustness of the results obtained [41, 49].
Each of these choices presents a challenge to modeling fidelity, generality, efficiency, robustness, and scientific transparency.
