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Common statistical methods used in medical research [PDF]
This paper aims to review the statistical methods that are widely used in medical and clinical research. Statistical analysis is crucial for ensuring the reliability of research results; therefore, methods should be carefully tailored to research ...
Hye Jin Yang, Hye Sun Lee
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Psychological research often involves complex datasets that cannot easily be analyzed using traditional statistical methods. Multiblock Discriminant Correspondence Analysis (multiblock dica, also called mudica) examines group differences in large ...
Anjali Krishnan +5 more
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Let Master of Public Health Students Experience Statistical Reasoning [PDF]
Biostatistics is an integral part of any public health studentʼs curriculum. Most master-level public health students, lacking undergraduate training in calculus-centered mathematics, are often regarded as unprepared for conceptual knowledge, and hence ...
Qi Zheng
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“Automatic” interpretation of multiple correspondence analysis (MCA) results for nonexpert users, using R programming [PDF]
PurposeThe purpose of this paper is to create an automatic interpretation of the results of the method of multiple correspondence analysis (MCA) for categorical variables, so that the nonexpert user can immediately and safely interpret the results, which
Stratos Moschidis +2 more
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All features of any data type are universally equipped with categorical nature revealed through histograms. A contingency table framed by two histograms affords directional and mutual associations based on rescaled conditional Shannon entropies for any ...
Fushing Hsieh, Elizabeth P. Chou
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A continuous and increasing crisis that present-day China is facing is environmental degradation. The cultivation of citizens who have environmentally friendly behaviours has been deemed as a fundamental way to solve environmental crises.
Yanyan Chen
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IntroductionThis study aims to clarify how the unnaturalness of cellular agricultural products can be familiarized to society, using the case of the Japanese public's receptivity to cultured meats. Perceived unnaturalness is a key factor in the rejection
Aiko Hibino +5 more
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Clustering categorical data based on the relational analysis approach and MapReduce
The traditional methods of clustering are unable to cope with the exploding volume of data that the world is currently facing. As a solution to this problem, the research is intensified in the direction of parallel clustering methods. Although there is a
Yasmine Lamari, Said Chah Slaoui
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ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
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The Problem of Zero Cells in the Analysis of Contingency Tables
Log-linear analysis is a statistical tool used to analyse the independence of categorical data in contingency tables. With this method, any number of nominal or ordinal variables can be analysed: interactions can be included in the model, various types ...
Justyna Brzezińska
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