A research team led by Prof. Xiao Kai from the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences ...
Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.
Background Cigarette sharing has not been assessed at the provincial level or analysed the degree of its association with smoking cessation in China. Such analysis would provide critical intelligence ...
ABSTRACT: This study examines the adequacy of the Baulu Conservation Concession (Democratic Republic of Congo) with the normative framework of OECMs of the Convention on Biological Diversity (CBD).
A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...
With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...
Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...
This study validates criteria to identify patients with inflammatory bowel disease (IBD) at risk of worsening disease who may benefit from early treatment with advanced therapies. Objectives: Risk ...
No universal definition of a small sample size has been established and the concept of small depends on the type of statistical analysis. Studies with small sample sizes can be associated with ...
Abstract: We consider the estimation of the Fourier transform of continuous-time deterministic signals from a finite number N of discrete-time non-uniform observations. The primary focus is to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results