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- Menkveld, Albert J., et al.
(författare)
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Nonstandard Errors
- 2024
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Ingår i: JOURNAL OF FINANCE. - : Wiley-Blackwell. - 0022-1082 .- 1540-6261. ; 79:3, s. 2339-2390
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Tidskriftsartikel (refereegranskat)abstract
- In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty-nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
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| 2. |
- Kulhánová, Ivana, et al.
(författare)
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The role of three lifestyle risk factors in reducing educational differences in ischaemic heart disease mortality in Europe
- 2017
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Ingår i: European Journal of Public Health. - : Oxford University Press. - 1101-1262 .- 1464-360X. ; 27:2, s. 203-210
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Ischaemic heart disease (IHD) is one of the leading causes of death worldwide with a higher risk of dying among people with a lower socioeconomic status. We investigated the potential for reducing educational differences in IHD mortality in 21 European populations based on two counterfactual scenarios-the upward levelling scenario and the more realistic best practice country scenario.METHODS: We used a method based on the population attributable fraction to estimate the impact of a modified educational distribution of smoking, overweight/obesity, and physical inactivity on educational inequalities in IHD mortality among people aged 30-79. Risk factor prevalence was collected around the year 2000 and mortality data covered the early 2000s.RESULTS: The potential reduction of educational inequalities in IHD mortality differed by country, sex, risk factor and scenario. Smoking was the most important risk factor among men in Nordic and eastern European populations, whereas overweight and obesity was the most important risk factor among women in the South of Europe. The effect of physical inactivity on the reduction of inequalities in IHD mortality was smaller compared with smoking and overweight/obesity. Although the reduction in inequalities in IHD mortality may seem modest, substantial reduction in IHD mortality among the least educated can be achieved under the scenarios investigated.CONCLUSION: Population wide strategies to reduce the prevalence of risk factors such as smoking, and overweight/obesity targeted at the lower socioeconomic groups are likely to substantially contribute to the reduction of IHD mortality and inequalities in IHD mortality in Europe.
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| 3. |
- Hoffmann, Mikael, et al.
(författare)
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Guiding principles for the use of knowledge bases and real-world data in clinical decision support systems : report by an international expert workshop at Karolinska Institutet
- 2020
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Ingår i: Expert Review of Clinical Pharmacology. - : Taylor & Francis. - 1751-2433 .- 1751-2441. ; 13:9, s. 925-934
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Tidskriftsartikel (refereegranskat)abstract
- Introduction Technical and logical breakthroughs have provided new opportunities in medicine to use knowledge bases and large-scale clinical data (real-world) at point-of-care as part of a learning healthcare system to diminish the knowledge-practice gap. Areas covered The article is based on presentations, discussions and recommendations from an international scientific workshop. Value, research needs and funding avenues of knowledge bases and access to real-world data as well as transparency and incorporation of patient perspectives are discussed. Expert opinion Evidence-based, publicly funded, well-structured and curated knowledge bases are of global importance. They ought to be considered as a public responsibility requiring transparency and handling of conflicts of interest. Information has to be made accessible for clinical decision support systems (CDSS) for healthcare staff and patients. Access to rich and real-world data is essential for a learning health care ecosystem and can be augmented by data on patient-reported outcomes and preferences. This field can progress by the establishment of an international policy group for developing a best practice guideline on the development, maintenance, governance, evaluation principles and financing of open-source knowledge bases and handling of real-world data.
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