| 书目名称 | Quantile Regression in Clinical Research | | 副标题 | Complete analysis fo | | 编辑 | Ton J. Cleophas,Aeilko H. Zwinderman | | 视频video | | | 概述 | Quantile regression is a novel virtually unpublished approach to data analysis.It is excellent for the analysis of clinical data with outliers, skewness, and inconstant variability.It is suitable for | | 图书封面 |  | | 描述 | .Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3) data with inconstant variability, (4) big data. In clinical research many examples can be given like circadian phenomena, and diseases where spreading may be dependent on subsets with frailty, low weight, low hygiene, and many forms of lack of healthiness. Stratified analyses is the laborious and rather explorative way of analysis, but quantile analysis is a more fruitful, faster and completer alternative for the purpose. Considering all of this, we are on the verge of a revolution in data analysis. The current edition is the first textbook and tutorial of quantile regressions for medical and healthcare students as well as recollection/update bench, and help desk for professionals. Each chapter can be studied as a standalone and covers one of the many fields in the fast growing world of quantile regressions. Step by step analyses of over 20 data files stored at extras.springer.com are included for self-assessment. We should add that the authors are well qualified in their field. Professor Zwinderman is past-president of the Interna | | 出版日期 | Textbook 2021 | | 关键词 | quantile regression; statistical data analysis; clinical medicine; self-assessment program; Step by step | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-82840-0 | | isbn_softcover | 978-3-030-82842-4 | | isbn_ebook | 978-3-030-82840-0 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:42:01
