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Multivariate statistical interpretation of laboratory clinical data [PDF]
Abstract Laboratory aids are extensively used in the diagnosis of diseases, in preventive medicine, and as management tools. Reference values of clinically healthy people serve as a guide to the clinician in evaluating biochemical parameters. Determination of 21 biochemical parameters of healthy persons using standard methods of analysis.
Papaioannou Agelos+4 more
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Statistical interpretation of medical data of patients with alcohol abuse [PDF]
Abstract An attempt is made to assess a set of biochemical, kinetic and anthropometric data for patients suffering from alcohol abuse (alcoholics) and healthy patients (non-alcoholics). The main goal is to identify the data set structure, finding groups of similarity among the clinical parameters or among the patients.
Bardarov Ventzislav+6 more
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Simplified Methods for Statistical Interpretation of Monitoring Data [PDF]
Statistical techniques are useful for interpretation of monitoring data for pollutants, process variables, etc. Simplified nomographical methods are presented for relating numbers of samples to confidence intervals for their mean values, and for determining the proportion of the population exceeding a specified concentration and confidence intervals ...
Bernard E. Saltzman
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INTERPRETATION OF STATISTICAL DATA: THE IMPORTANCE OF AFFECTIVE EXPRESSIONS
In recent years, research on teaching and learning of statistics emphasized that the interpretation of data is a complex process that involves cognitive and technical aspects. However, it is a human activity that involves also contextual and affective aspects. This view is in line with research on affectivity and cognition.
Tamires Nogueira Queiroz+3 more
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Application of Statistical Tools for Data Analysis and Interpretation in Rice Plant Pathology
There has been a significant advancement in the application of statistical tools in plant pathology during the past four decades. These tools include multivariate analysis of disease dynamics involving principal component analysis, cluster analysis ...
Parsuram Nayak+3 more
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Data interpretation and statistical significance
S M Balaji
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A Simpeified Method for the Statistical Interpretation of Experimental Data [PDF]
G. A. Linhart
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Microbiome studies have become routine in biomedical, agricultural and environmental sciences with diverse aims, including diversity profiling, functional characterization, and translational applications. The resulting complex, often multi-omics datasets
Yao Lu+5 more
semanticscholar +1 more source
Transparency considerations for describing statistical analyses in research [PDF]
Researchers who use the results of statistical analyses to draw conclusions about collected data must write a statistical analysis section in their manuscript. Describing statistical analyses in precise detail is as important as presenting the dosages of
Sang Kyu Kwak, Jonghae Kim
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