| 书目名称 | Innovative Statistical Methods for Public Health Data |
| 编辑 | Ding-Geng (Din) Chen,Jeffrey Wilson |
| 视频video | |
| 概述 | Covers statistical methods and their applications to public health research in a multi-disciplinary approach by experts in the field.Compiles the data & related software in innovative statistical meth |
| 丛书名称 | ICSA Book Series in Statistics |
| 图书封面 |  |
| 描述 | The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes. |
| 出版日期 | Book 2015 |
| 关键词 | Causal inference; Health surveillance; Incomplete or missing data; Public health statistics; Standardiza |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-18536-1 |
| isbn_softcover | 978-3-319-36641-8 |
| isbn_ebook | 978-3-319-18536-1Series ISSN 2199-0980 Series E-ISSN 2199-0999 |
| issn_series | 2199-0980 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:04:27
