Results 31 to 40 of about 1,700,598 (262)
Deep Impact: Unintended consequences of journal rank
Frontiers in Human Neuroscience, 2013 Most researchers acknowledge an intrinsic hierarchy in the scholarly journals (‘journal rank’) that they submit their work to, and adjust not only their submission but also their reading strategies accordingly.
Björn eBrembs +2 more
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Journal of Education, Health and Sport, 2016 Introduction: Application of statistical software typically does not require extensive statistical knowledge, allowing to easily perform even complex analyses.
Elżbieta Sandurska, Aleksandra Szulc
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Frontiers in Neurology, 2018 The use of high-dose methylprednisolone for acute spinal cord injury continues to be a topic of debate. This controversy largely stems from fundamental issues in statistical interpretation of trial data, most notably subgroup analyses.
Shannon Hextrum, Stephanie Bennett
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Problem-Driven Teaching: Estimating the Population from a Sample
Computer Sciences & Mathematics Forum, 2023 Today, mathematics teachers are realizing that there are many benefits of problem-driven teaching, but also face a number of challenges, such as a lack of confidence, not knowing how to design high-quality problems, and not knowing how to deal with the ...
Guoqiang Dang +3 more
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DATA ACCURACY AND RELIABILITY OF RESEARCH REPORTING
Central Asian Journal of Medical Hypotheses and EthicsDATA ACCURACY AND RELIABILITY OF RESEARCH ...
Ilke Coskun Benlidayi
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Radiology and Oncology, 2020 Specific correlations among diffusion tensor imaging (DTI)-derived metrics and magnetic resonance spectroscopy (MRS) metabolite ratios in brains with glioblastoma are still not completely understood.
Flores-Alvarez Eduardo +5 more
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Spatial Data in Undergraduate Statistics Curriculum
Journal of Statistics and Data Science Education, 2021 In this article we present and discuss the importance and relevance of the inclusion of spatial data analysis as part of the undergraduate statistics curriculum.
Nicolas Christou
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A correlated topic model of Science
, 2007 Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which
Blei, David M., Lafferty, John D.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait +23 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source