In this dissertation work, we propose several novel methodologies for handling important problems that come up when analyzing high-dimensional genomic and proteomic data. In the context of meta-analysis, we dev
It includes the development of conceptual models to better understand such violations, as well as to obtain HR analyses of greater validity. This chapter overviews several statistical methodologies that have been successfully applied by the author in previous HR case studies. The author first discusses...
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Twin, family, and adoption studies are used to determine the extent to which a complex disease has genetic determinants. • Both common and rare genetic variants likely contribute to complex disease etiology and require different statistical methodologies to analyze these data appropriately. • Case...
It is widely used in the field of image processing, remote sensing applications, biomedical analysis, document processing, and so on. In this investigation, we present a detailed study of four different methodologies that have been developed for texture classification. These methodologies include gray...
This review contemplates models using Bayesian probabilistic networks, Analytical Hierarchy Process (AHP), multi-criteria decision making, multi-attribute evaluation and other decision theory methodologies to facilitate the decision making process and analysis of different information, while considering the ...
About this book series This new series in statistical ecology is designed to cover diverse topics in emerging interdisciplinary research. The emphasis is on specific statistical methodologies utilized in burgeoning areas of quantitative ecology. The series focuses primarily on monographs from leading researc...
The data from each scenario were compared using the factorial analysis of variance method. The findings produced demonstrate that the proposed methods align with other objective methodologies. Furthermore, the proposed approaches were observed to take more time to finish the procedure compared to the ...
In this manuscript, authors reviewed some RWD sources and shared considerations for statistical strategies and methodologies needed to design and analyze observational safety studies and pragmatic trials. Results Authors presented case studies and shared recommendations for statistical methods necessary to desig...
This course offers a deep dive into the world of statistical analysis, equipping learners with cutting-edge techniques to understand and interpret data effectively. We explore a range of methodologies, from regression and classification to advanced appro