| 书目名称 | Converting Data into Evidence |
| 副标题 | A Statistics Primer |
| 编辑 | Alfred DeMaris,Steven H. Selman |
| 视频video | http://file.papertrans.cn/238/237815/237815.mp4 |
| 概述 | Provides a broad statistical overview immediately relevant to postgraduate physicians and nurses.Provides the essence of potentially esoteric statistical distributions and applications so they are acc |
| 图书封面 |  |
| 描述 | .Converting Data into Evidence: A Statistics Primer for the Medical Practitioner. provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughout their professional careers. These techniques play an important part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heart of this research is the science of statistics. It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authors begin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. They then proceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate and bivariate tests. The coverage then moves to statistical modeling, including linear and logistic regression and survival analysis. In a final chapter, a user-friendly introduction to some newer, cutting-edge, regression techniques will be included, such as fixed-effects regr |
| 出版日期 | Book 2013 |
| 关键词 | biostatistics; clinical trials; epidemiology; observational epidemiology |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-7792-1 |
| isbn_softcover | 978-1-4614-7791-4 |
| isbn_ebook | 978-1-4614-7792-1 |
| copyright | Springer Science+Business Media New York 2013 |
|Archiver|手机版|小黑屋|
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