| 书目名称 | Modern Biostatistical Methods for Evidence-Based Global Health Research |
| 编辑 | Ding-Geng (Din) Chen,Samuel O. M. Manda,Tobias F. |
| 视频video | |
| 概述 | Offers cutting-edge research in evidence-based global health research.Features the perspectives of world-class subject experts and researchers.Provides both real data and computer programming language |
| 丛书名称 | Emerging Topics in Statistics and Biostatistics |
| 图书封面 |  |
| 描述 | .This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. .It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.. |
| 出版日期 | Book 2022 |
| 关键词 | biostatistical methods; evidence-based; global health; benefit-risk; meta-analysis; spatio-temporal model |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-11012-2 |
| isbn_softcover | 978-3-031-11014-6 |
| isbn_ebook | 978-3-031-11012-2Series ISSN 2524-7735 Series E-ISSN 2524-7743 |
| issn_series | 2524-7735 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:14:55
