| 书目名称 | Quantitative Epidemiology | | 编辑 | Xinguang Chen | | 视频video | | | 概述 | Emphasizes application through scientific reasoning and project development.Illustrates key principles and methods with examples, real data, and SAS.Promotes transition from guided research to indepen | | 丛书名称 | Emerging Topics in Statistics and Biostatistics | | 图书封面 |  | | 描述 | .This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and methods essential for data processing and quantitative analysis to address medical, health, and behavioral challenges. Students will learn to access to existing data and process their own data, quantify the distribution of a medical or health problem to inform decision making; to identify influential factors of a disease/behavioral problem; and to support health promotion and disease prevention. Concepts, principles, methods and skills are demonstrated with SAS programs, figures and tables generated from real, publicly available data. In addition to various methods for introductory analysis, the following are featured, including 4-dimensional measurement of distribution and geographic mapping, multiple linear and logistic regression, Poissonregression, Cox regression, missing data imputing, and statistical power analysis. . | | 出版日期 | Textbook 2021 | | 关键词 | quantitative methods; descriptive study; etiology; causal inference; bivariate analysis; exploratory anal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-83852-2 | | isbn_softcover | 978-3-030-83854-6 | | isbn_ebook | 978-3-030-83852-2Series 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 |
The information of publication is updating
|
|
发表于 2025-3-21 16:48:07
