User's guide to correlation coefficients.
TLDR
Several different correlation coefficients reported in medical manuscripts are familiarize medical readers with, clarify confounding aspects and summarize the naming practices for the strength of correlation coefficients are summarized.Abstract:
When writing a manuscript, we often use words such as perfect, strong, good or weak to name the strength of the relationship between variables. However, it is unclear where a good relationship turns into a strong one. The same strength of r is named differently by several researchers. Therefore, there is an absolute necessity to explicitly report the strength and direction of r while reporting correlation coefficients in manuscripts. This article aims to familiarize medical readers with several different correlation coefficients reported in medical manuscripts, clarify confounding aspects and summarize the naming practices for the strength of correlation coefficients.read more
Citations
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Immediate Psychological Effects of the COVID-19 Quarantine in Youth From Italy and Spain.
TL;DR: The quarantine impacts considerably on Italian and Spanish youth, reinforcing the need to detect children with problems as early as possible to improve their psychological well-being.
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Trends and risk factors of mortality and disability adjusted life years for chronic respiratory diseases from 1990 to 2017: systematic analysis for the Global Burden of Disease Study 2017
Xiaochen Li,Xiaopei Cao,Xiaopei Cao,Mingzhou Guo,Mingzhou Guo,Min Xie,Xiansheng Liu,Xiansheng Liu +7 more
TL;DR: Assessment of the factors responsible for regional variations in mortality and DALYs and the unequal distribution of improvements during the 27 years showed negative correlations between the Socio-demographic index and the mortality rates of COPD, pneumoconiosis, and asthma.
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Bland-Altman analysis: A paradigm to understand correlation and agreement
TL;DR: In this review, potential areas of usage of Bland-Altman analysis is elaborated from a clinical viewpoint, and possible pitfalls in study designs are discussed in statistical perspective.
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Psychological Symptoms and Behavioral Changes in Children and Adolescents During the Early Phase of COVID-19 Quarantine in Three European Countries
Rita Francisco,Marta Pedro,Elisa Delvecchio,José P. Espada,Alexandra Morales,Claudia Mazzeschi,Mireia Orgilés +6 more
TL;DR: An increase in children's psychological and behavioral symptoms, increased screen-time, reduced physical activity, and more sleep hours/night is revealed, and hierarchical multiple regressions revealed that having an outdoor exit in the house contributed to lower levels of psychological and Behavioral symptomatology.
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Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.
TL;DR: The authors used machine learning methods to extract topics and sentiments relating to COVID-19 vaccination on Twitter and found that nearly two-thirds of the sentiments of all tweets expressed a positive public opinion about the COVID19 vaccine; around one-third were negative.
References
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Practical statistics for medical research
TL;DR: Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.
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Discovering Statistics Using Ibm Spss Statistics
TL;DR: The Fourth Edition of Andy Field's Discovering Statistics Using SPSS 4th Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines.
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Statistics without maths for psychology
Christine P. Dancey,John Reidy +1 more
TL;DR: In this paper, the authors introduce the multivariate analysis of variance (MANOVA) and compare it with the standard normal distribution in terms of the proportion of the normal distribution falling above and below each score.
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