| 书目名称 | Statistics for Health Data Science | | 副标题 | An Organic Approach | | 编辑 | Ruth Etzioni,Micha Mandel,Roman Gulati | | 视频video | | | 概述 | Highly interdisciplinary - drawing from statistics, health services, economics, and informatics.Goes beyond the formulas, explaining why different methods work, how to choose from among them, and how | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | .Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science..This textbook is designed to overcome students’ anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engagingexplanations and examples. In this way, the authors cultivate a deep (“organic”) understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illu | | 出版日期 | Textbook 2020 | | 关键词 | Analytic Methods; Biostatistics; Data Science; Epidemiology; Health Care Databases; Health Data Analytics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-59889-1 | | isbn_softcover | 978-3-030-59891-4 | | isbn_ebook | 978-3-030-59889-1Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 17:23:39
