Search results for "Statistikk"
showing 4 items of 4 documents
Evaluating evaluative bibliometrics: a case study of two research groups
2018
Bibliometrics is a method increasingly used to perform evaluations of scientific output and impact, in particular in order to distribute means, such as research grants. But also internally within universities and other research institutions. Various performance and impact meaures are used to establish quality of research. This can be highly problematic, not only in terms of ethics, but also with regards to method. Especially considering the proliferation of tools to perform bibliometric analysis, which means that analyses are increasingly performed without actual understanding of bibliometrics as a scientific method. In our research we have compared two research groups in the same field of …
Health effects of overweight and obesity in 195 countries over 25 years
2017
Source at: http://doi.org/10.1056/NEJMoa1614362 Background: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. Methods: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. Restults: In 2015, a total of 107.7 million children and 603.7 million adult…
“Anti-Bayesian” flat and hierarchical clustering using symmetric quantiloids
2017
A myriad of works has been published for achieving data clustering based on the Bayesian paradigm, where the clustering sometimes resorts to Naive-Bayes decisions. Within the domain of clustering, the Bayesian principle corresponds to assigning the unlabelled samples to the cluster whose mean (or centroid) is the closest. Recently, Oommen and his co-authors have proposed a novel, counter-intuitive and pioneering PR scheme that is radically opposed to the Bayesian principle. The rational for this paradigm, referred to as the “Anti-Bayesian” (AB) paradigm, involves classification based on the non-central quantiles of the distributions. The first-reported work to achieve clustering using the A…
Accessing sub-national cholera epidemiological data for Nigeria and the Democratic Republic of Congo during the seventh pandemic.
2022
Abstract Background Vibrio cholerae is a water-borne pathogen with a global burden estimate at 1.4 to 4.0 million annual cases. Over 94% of these cases are reported in Africa and more research is needed to understand cholera dynamics in the region. Cholera data are lacking, mainly due to reporting issues, creating barriers for widespread research on cholera epidemiology and management in Africa. Main body Here, we present datasets that were created to help address this gap, collating freely available sub-national cholera data for Nigeria and the Democratic Republic of Congo. The data were collated from a variety of English and French publicly available sources, including the World Health Or…