Results 11 to 20 of about 550,911 (287)
The aim of this study was to evaluate the contribution of macro- and micronutrients intake to mortality in patients with gastrointestinal cancer, comparing the classical statistical approaches with a new generation algorithm. In 1992, the ONCONUT project
Rossella Donghia +3 more
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Context: Medical research is being encouraged in India and biostatistics is a vital tool. It is important to understand the attitudes toward biostatistics before teaching programs and workshops are conducted to empower clinicians with this vital tool ...
Devavrat G Harshe, Deepti A Abraham
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Landscaping biostatistics education in India
Biostatistics plays an important role in measuring, understanding, and describing the overall health and well-being of a population. Biostatistics as a subject evolved from the application of statistics in various research aspects of biology, biomedical ...
Ranjana Singh +4 more
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Handling Skewed Data: A Comparison of Two Popular Methods
Scientists in biomedical and psychosocial research need to deal with skewed data all the time. In the case of comparing means from two groups, the log transformation is commonly used as a traditional technique to normalize skewed data before utilizing ...
Hanan M. Hammouri +3 more
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Climate change, drought and high temperatures lately have led to the need to increase the adaptation capacities of plants to these changes.
GANEA, Ion
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Deep determinism and the assessment of mechanistic interaction between categorical and continuous variables [PDF]
Our aim is to detect mechanistic interaction between the effects of two causal factors on a binary response, as an aid to identifying situations where the effects are mediated by a common mechanism.
A. Philip Dawid +32 more
core +2 more sources
A Bayesian space–time model for clustering areal units based on their disease trends [PDF]
Population-level disease risk across a set of non-overlapping areal units varies in space and time, and a large research literature has developed methodology for identifying clusters of areal units exhibiting elevated risks.
Lawson, Andrew +3 more
core +2 more sources
Statistics is that branch of science which deals with the collection, organization, analysis, and interpretation of numerical data. It is the study of the methods of collection, analysis, interpretation, presentation, organization, summarizing and ...
Jatinder Bali, Renu T. Bali, Y. K. Gupta
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Multicollinearity and misleading statistical results [PDF]
Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression analyses. Diagnostic tools of multicollinearity include the variance inflation
Jong Hae Kim
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Background: The aim of this project was to explore how physicians and dentists in Germany evaluate biostatistics/biometry in general as well as their training in it.
Hartmann, Nina Alida +2 more
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