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B01=Carlos A. Coelho
B01=Ding-Geng Chen
Category1=Non-Fiction
Category=PBT
COP=Switzerland
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Language_English
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Biostatistics Modeling and Public Health Applications: Study Design and Analysis Methodology in Health Sciences, Volume 1

English

This book provides an overview and compilation of contemporary topics and innovative approaches in biostatistical modeling through their applications to evidence-based public health research and decision-making. This book covers topics in 3 parts as: 1) Biostatistical Modeling, 2) Imaging Data Analysis, and 3) Public Health Applications.

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.

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Current price €164.34
Original price €172.99
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Age Group_Uncategorizedautomatic-updateB01=Carlos A. CoelhoB01=Ding-Geng ChenCategory1=Non-FictionCategory=PBTCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 03 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 03 Jan 2025
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031696893

About

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).

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