G
George Liberopoulos
Researcher at University of Ioannina
Publications - 8
Citations - 677
George Liberopoulos is an academic researcher from University of Ioannina. The author has contributed to research in topics: Framingham Risk Score & Higher education. The author has an hindex of 6, co-authored 8 publications receiving 624 citations. Previous affiliations of George Liberopoulos include Foundation for Research & Technology – Hellas.
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Journal ArticleDOI
Assessment of Claims of Improved Prediction Beyond the Framingham Risk Score
TL;DR: The majority of examined studies claimed that they found factors that could offer additional predictive value beyond what the FRS could achieve; however, most had flaws in their design, analyses, and reporting that cast some doubt on the reliability of the claims for improved prediction.
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International ranking systems for universities and institutions: a critical appraisal
John P. A. Ioannidis,John P. A. Ioannidis,John P. A. Ioannidis,Nikolaos A. Patsopoulos,Fotini K. Kavvoura,Athina Tatsioni,Athina Tatsioni,Evangelos Evangelou,Ioanna Kouri,Despina G. Contopoulos-Ioannidis,Despina G. Contopoulos-Ioannidis,George Liberopoulos +11 more
TL;DR: The examination of the existing international ranking systems suggests that generic challenges include adjustment for institutional size, definition of institutions, implications of average measurements of excellence versus measurements of extremes, adjustments for scientific field, time frame of measurement and allocation of credit for excellence.
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Selection in Reported Epidemiological Risks: An Empirical Assessment
TL;DR: Reporting of statistically significant results was more common with structured abstracts, and was less common in US-based studies and in cancer outcomes, and the proportion and correlates of reporting statistically significant and nonsignificant results in the abstract were examined.
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Consistency of genome-wide associations across major ancestral groups
Evangelia E. Ntzani,George Liberopoulos,Teri A. Manolio,John P. A. Ioannidis,John P. A. Ioannidis +4 more
TL;DR: The modest correlations, differing risk estimates, and considerable between-association heterogeneity suggest that differential ancestral effects can be anticipated and genomic risk markers may need separate further evaluation in different ancestry groups.
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Use of reclassification for assessment of improved prediction: an empirical evaluation
TL;DR: Reclassification studies would benefit from more rigorous methodological standards; otherwise claims for improved reclassification may remain spurious.