| 书目名称 | Modern Methods for Epidemiology |
| 编辑 | Yu-Kang Tu,Darren C. Greenwood |
| 视频video | |
| 概述 | Discussion of modern statistical methods for epidemiology and biomedical research that cannot be found in most textbooks, e.g. latent growth curve models, latent class analysis, growth mixture models, |
| 图书封面 |  |
| 描述 | Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper. However, proper understanding of the challenging statistical theory behind those methods remains essential for correct application and interpretation, and rarely seen in the medical literature. Modern Methods for Epidemiology provides a concise introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become indispensible tools for researchers working in epidemiology and medicine but are rarely discussed in details by standard textbooks of biostatistics or epidemiology. Contributors of this book are experienced researchers and experts in their respective fields. This textbook provides a solid starting point for those who are new to epidemiology, and for those looking for guidance in more modern statistical approaches to observational epidemiology. Epidemiological and biomedical researchers who wish to overcome the mathematical barrier of applying those methods to their research will find this book an accessible and helpful ref |
| 出版日期 | Book 2012 |
| 关键词 | Bayesian analysis; Biostatistics; Directed acyclic graphs; Epidemiological methods; Latent variable mode |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-94-007-3024-3 |
| isbn_softcover | 978-94-007-9406-1 |
| isbn_ebook | 978-94-007-3024-3 |
| copyright | Springer Science+Business Media Dordrecht 2012 |
发表于 2025-3-21 18:55:29
