Modern Statistical Methods for Health Research / Emerging Topics in Statistics and Biostatistics (PDF)
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This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include:
- Health data analysis and applications to EHR data
- Clinical trials, FDR, and applications in health science
- Big network analytics and its applications in GWAS
- Survival analysis and functional data analysis
- Graphical modelling in genomic studies
The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.
Professor (Din) Ding-Geng Chen is a fellow of the American Statistical Association. He is an honorary professor at the School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa and an extraordinary professor at the Department of Statistics, University of Pretoria, South Africa. Professor Chen has written more than 200 refereed publications and co-authored/co-edited 33 books on clinical trial methodology, meta-analysis, causal inference and public health statistics. This work is partially supported by the National Research Foundation of South Africa (Grant Number 127727) and the South African National Research Foundation (NRF) and South African Medical Research Council(SAMRC) (South
- 2021, 1st ed. 2021, 496 Seiten, Englisch
- Herausgegeben: Yichuan Zhao, (Din) Ding-Geng Chen
- Verlag: Springer International Publishing
- ISBN-10: 3030724379
- ISBN-13: 9783030724375
- Erscheinungsdatum: 14.10.2021
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- Dateiformat: PDF
- Größe: 8.13 MB
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