Statistical Modeling and Applications

Erscheinungsjahr 2025
ISBN: 978-3-031-91583-3
Verlag: Springer

Medienkombination, Englisch, 660 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Emerging Topics in Statistics and Biostatistics

In an era defined by the seamless integration of data and sophisticated analytical and modeling techniques, the quest for advanced statistical modeling and methodologies has never been more pertinent. Biostatistics Modeling and Public Health Applications: Study Design and Analysis Methodology in Health Sciences - Volume 1 has eleven chapters, divided in two Parts, with Part I comprising five chapters dealing with the application of Multivariate Analysis techniques and multivariate distributions to a set of different situations, and Part II consisting of six chapters which address the modeling of several interesting phenomena through the use of Heavy-Tailed, Skewed, Circular-Linear and Mixture Distributions, as well as Neural Networks. Statistical Modeling and Applications: Multivariate, Heavy-Tailed, Skewed Distributions, Mixture and Neural-Network Modeling, Volume 2, represents a concerted effort to bridge the gap between theoretical advancements and practical applications in the realm of Statistical Science, namely in the area of Statistical Modeling. It also aims to present a wide range of emerging topics in mathematical and statistical modeling written by a group of distinguished researchers from top-tier universities and research institutes to offer broader opportunities in stimulating further collaborations in the areas of mathematics and statistics.Topics should appeal to both expert statisticians, as well as health researchers interested in biostatistical methodological applications in evidence-based health research. The book is a resourceful manual and can be used as an authoritative reference. The features covered in this book will appeal to researchers where public health research is being rigorously conducted.

Zielgruppe

Graduate

Autoren/Hrsg.

Chen, Ding-Geng

Coelho, Carlos A.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik

Inhaltsverzeichnis

.- Bootstrap calibrated tests for average bioequivalence and scaled average bioequivalence.

.- Hypothesis Testing within Bayesian Inference "Regression Estimation for Length-Biased Data:A Review and Comparative Study".

.- "Nonparametric Methods for Incomplete Multivariate Data: Applications to Quality of Life Outcomes".

.- Geostatistical Analysis of Under-Five Children Mortality and Associated Factors Across Sub-Saharan African Countries.

.- SEIRD Mathematical Modelling of Malaria Transmission Dynamics in Ethiopia.

.- Robust Principal Component Analysis for Retinal Image Enhancement.

.- "Estimating Average and Individual Treatment Effects in the Presence of Time-Dependent Covariates".

.- "Detection of Quadratic Interactions in Brain Functional Connectivity".

.- "Variable selection in the generalized semiparametric longitudinal model and HIV analysis".

.- Survey design effect in the prediction of events for categorical health outcomes through regression methods: Evidence from Malawi under-five mortality survey data; 2000-2016.

.- Survey design effect in the prediction of events for categorical health outcomes through regression methods: Evidence from Malawi under-five mortality survey data; 2000-2016.

.- Issues in Multivariate Spatial Analysis of Multiple Diseases Using Complex Health Survey Data.

Über Autor(innen)

Ding-Geng Chen is a fellow of the American Statistical Association and is currently the executive director and professor in biostatistics at the College of Health Solutions, Arizona State University. He is also an extraordinary professor and the SARChI in biostatistics at the University of Pretoria, an honorary professor at the University of KwaZulu-Natal, South Africa. Dr. Chen was the Karl E. Peace Endowed Eminent Scholar Chair in Biostatistics at Georgia Southern University. He is a senior biostatistics consultant for biopharmaceuticals and government agencies with extensive expertise in biostatistics, clinical trials, and public health statistics. Dr. Chen has more than 200 referred professional publications and co-authored and co-edited 35 books on clinical trial methodology, meta-analysis, data science, causal inference, and public health research.

Carlos Coelho is a Professor of Statistics at the Mathematics Department of NOVA School of Science and Technology of NOVA University of Lisbon. His main area of research is Multivariate Analysis, namely the development of likelihood ratio tests for elaborate covariance structures and for MANOVA models, also with elaborate covariance structures, together with the study of the exact distribution and the development of near-exact distributions for the associated test statistics. Related with this area, other areas of interest are Mathematical Statistics and Distribution Theory, as well as Estimation, Univariate and Multivariate Linear, Generalized Linear and Mixed Models. More recently, he also got interested in tests for high-dimensionality and the application of Multivariate Analysis techniques to Statistical Disclosure Control problems. He is Associate Editor of the Springer Book series “Emerging Topics in Statistics and Biostatistics” and a member of the International Council of the “Business World” Library of the Tsenov Academy of Economics (Svishtov, Bulgaria).