Article
Multidisciplinary Sciences
Nora Mihalek, Dragana Radovanovic, Otto Barak, Petar Colovic, Markus Huber, Gabor Erdoes
Summary: This study aimed to investigate the survival benefit of convalescent plasma therapy in COVID-19 patients. The results showed no statistical evidence of the benefit of convalescent plasma therapy on all-cause mortality. Further studies are needed to determine in which patients this therapy may lead to a reduction in mortality.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Qinqin Jin, Gang Shi
Summary: A random effect model overlapping MR method is proposed in this study, which simultaneously considers heterogeneity and overlapping data, showing high efficiency in SNP-environment interaction studies.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Multidisciplinary
Fushing Hsieh, Elizabeth P. Chou, Ting-Li Chen
Summary: CEDA with mimicking explores and exhibits the complexity and structural dependency of data matrices, revealing information content and feature associations from fine-scale to global structures. It enhances data visualization reliability and robustness, clarifying which covariate feature-groups have major-vs.-minor predictive powers on response features at specific scales.
Article
Management
Lei Chen, Ying-Ming Wang
Summary: Meta-frontier directional distance function is an important method to evaluate the efficiency of decision-making units with technical heterogeneity. Game theory is introduced to handle the issue of endogenous technique and construct the meta-frontier DDF with endogenous technique, proving its convergence, uniformity, and optimality.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Multidisciplinary Sciences
Muhammad Aslam, Rehan Ahmad Khan Sherwani, Muhammad Saleem
Summary: Researchers commonly utilize the Jarque-Bera test in decision-making, but its operational limitations on interval-valued data prompted a modification in this study. The proposed neutrosophic Jarque-Bera test proved to be effective and suitable for assessing normality under uncertainty, as demonstrated through a comparison with the existing test using real gold mines data.
Article
Biochemical Research Methods
Jian Zhou, Olga G. Troyanskaya
Summary: The development of a 'linearly interpretable' framework for analyzing single-cell omics data improves data representation, visualization, and structure discovery in a way that is both interpretable and transferable across datasets.
Article
Computer Science, Information Systems
Sudeepa Roy
Summary: We live in a data-dominated world where users have access to data analysis tools. However, treating analyses as black boxes can mislead users. This paper discusses the research on explanations and causality to help users interpret and apply the results of data analysis.
PROCEEDINGS OF THE VLDB ENDOWMENT
(2022)
Article
Health Care Sciences & Services
Maria N. Plana, Ingrid Arevalo-Rodriguez, Silvia Fernandez-Garcia, Javier Soto, Martin Fabregate, Teresa Perez, Marta Roque, Javier Zamora
Summary: This article presents the updated version of Meta-DiSc software, Meta-DiSc 2.0, which is a web-based application developed using the R Shiny package. The new version implements state-of-the-art statistical models and offers improved user experience. It performs statistical analyses of diagnostic test accuracy reviews using a bivariate random effects model and provides various analysis tools such as subgroup and meta-regression analyses. The software has been validated with real datasets and is freely available at www.metadisc.es.
BMC MEDICAL RESEARCH METHODOLOGY
(2022)
Article
Physics, Multidisciplinary
Aurea Grane, Giancarlo Manzi, Silvia Salini
Summary: This study proposes a new protocol that combines robust distances and visualization techniques for dynamic mixed data. Several graphical tools are introduced to monitor the evolution of distances and detect outliers. The methodology is illustrated on a real COVID-19 dataset.
Review
Information Science & Library Science
Anand Jeyaraj
Summary: Habit has been modeled in various ways in IS research, leading to inconsistent empirical findings on its relationships. This study suggests that variations in results may be due to different habit models and study characteristics, which were explored through a meta-analysis and review.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Review
Medicine, General & Internal
Perrine Janiaud, Cathrine Axfors, Andreas M. Schmitt, Viktoria Gloy, Fahim Ebrahimi, Matthias Hepprich, Emily R. Smith, Noah A. Haber, Nina Khanna, David Moher, Steven N. Goodman, John P. A. Ioannidis, Lars G. Hemkens
Summary: Convalescent plasma treatment showed no significant decrease in all-cause mortality or benefit for other clinical outcomes compared to placebo or standard of care. The certainty of the evidence ranged from low to moderate for all-cause mortality and remained low for other outcomes.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
(2021)
Article
Engineering, Electrical & Electronic
Tianqi Gu, Chenjie Hu, Tong Guo, Tianzhi Luo
Summary: The improved moving total least-squares method introduces a new parameter to characterize the geometric feature of abnormal points, generates fitting points using the total least-squares method, and trims outliers based on the connection between variance and abnormal degree, leading to better fitting accuracy and robustness.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Review
Immunology
Dong Liu, Budian Liu, Churong Lin, Jieruo Gu
Summary: Ankylosing spondylitis is a complex autoimmune disease involving genetic and environmental factors. B cells were found to be significantly increased in AS patients, while Tregs were decreased and Th17 cells were increased. The imbalance between Th17 and Tregs, as well as between Th1 and Th2, may play a role in the pathogenesis of ankylosing spondylitis. Further research is needed to clarify the interactions between different lymphocyte subsets in AS patients.
FRONTIERS IN IMMUNOLOGY
(2021)
Review
Biochemical Research Methods
Chao Li, Zhenbo Gao, Benzhe Su, Guowang Xu, Xiaohui Lin
Summary: Omics technology includes genomics, epigenomics, transcriptomics, proteomics, and metabolomics, providing new ways to study disease diagnosis and prognosis. However, the large and complex nature of Omics data makes the method used to analyze the data crucial. In the past decade, advances in biomarker discovery methods based on Omics data have been categorized into individual feature analysis, combinatorial feature analysis, and network analysis, with challenges and perspectives discussed.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Genetics & Heredity
Zongliang Hu, Yan Zhou, Tiejun Tong
Summary: A robust variable selection algorithm based on logistic regression was developed for meta-analyzing high-dimensional datasets, using a combination of least trimmed squared estimates and hierarchical bi-level variable selection technique, to achieve more reliable results.
FRONTIERS IN GENETICS
(2021)
