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Awareness of normal risk is not normal [PDF]
BMJ, 2020 Epidemiological rates and disease risks often do not resonate well with the general public.12 This is primarily because human beings are more attuned to anecdotes than hard data. The “Jade Goody effect” on cervical cancer screening amply demonstrates the power of anecdotes. …
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The normal range: it is not normal and it is not a range [PDF]
Postgraduate Medical Journal, 2018 AbstractThe NHS ‘Choose Wisely’ campaign places greater emphasis on the clinician-patient dialogue. Patients are often in receipt of their laboratory data and want to know whether they are normal. But what is meant by normal? Comparator data, to a measured value, are colloquially known as the ‘normal range’.
Martin Brunel Whyte, Philip Kelly
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Self-Portrait: Between Normality and Psychosis [PDF]
Anastasis: Research in Medieval Culture and Art, 2018 The article entitled ”Self-Portrait: Between Normality and Psychosis ” makes a comparison between specific international artists’ self-portraits (such as: Vincent van Gogh’s, Syd Barret’s, Maria Lassning’s etc.) and national artists’ self-portraits (such
Ioana Palamar
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Antiprincipal solutions at infinity for symplectic systems on time scales
Electronic Journal of Qualitative Theory of Differential Equations, 2020 In this paper we introduce a new concept of antiprincipal solutions at infinity for symplectic systems on time scales. This concept complements the earlier notion of principal solutions at infinity for these systems by the second author and Šepitka ...
Iva Drimalova, Roman Simon Hilscher
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Violating the normality assumption may be the lesser of two evils
Behavior Research Methods, 2018 When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a more specific error structure or use randomization techniques.
U. Knief, W. Forstmeier
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Archives of Neurology, 1998 While many "normal" subjects exhibit mild clinically detectable tremor, the extent to which this tremor is present has received little attention.To characterize the prevalence and clinical characteristics of mild, clinically detectable tremor in a multiethnic cohort of normal subjects.Normal control subjects (n=36) and their relatives (n=67) were ...
E D, Louis +3 more
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Linear regression and the normality assumption.
Journal of Clinical Epidemiology, 2017 OBJECTIVES Researchers often perform arbitrary outcome transformations to fulfill the normality assumption of a linear regression model. This commentary explains and illustrates that in large data settings, such transformations are often unnecessary, and
A. Schmidt, C. Finan
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Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
CoRR, 2016 Normalization techniques have only recently begun to be exploited in supervised learning tasks. Batch normalization exploits mini-batch statistics to normalize the activations. This was shown to speed up training and result in better models. However its success has been very limited when dealing with recurrent neural networks.
Ren, Mengye +4 more
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Mardia’s Skewness and Kurtosis for Assessing Normality Assumption in Multivariate Regression
, 2021 In linear model, normality assumption should be met [3], and we agree that linear regression is of no exception. What if this assumption is not fulfilled? Some previous researchers discussed the unfulfilled normality assumption.
Dewi Wulandari +2 more
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“Porquê suportar o hospício quando poderias ir aos céus?” Thoreau ou uma alternativa à normose
Anglo Saxonica, 2020 In dialogue with Thoreau, we seek to reflect on the limits of the common perception of the world and the possibility of overcoming them by the awakening of consciousness. For this purpose, the concepts of pathology and normality are rethought in light of
Paulo Borges
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