Statistical Analytics for Health Data Science with SAS and R (Hardcover)
暫譯: 健康數據科學的統計分析：使用 SAS 和 R (精裝版)

Wilson, Jeffrey, Chen, Ding-Geng, Peace, Karl E.

Statistical Analytics for Health Data Science with SAS and R (Hardcover)
  • 出版商: CRC
  • 出版日期: 2023-03-28
  • 售價: $3,500
  • 貴賓價: 9.5 折 $3,325
  • 語言: 英文
  • 頁數: 258
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032325623
  • ISBN-13: 9781032325620
  • 相關分類: Data Science

    • 立即出貨 (庫存=1)

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商品描述

This book aims to compile typical fundamental-to-advanced statistical methods to be used for health
data sciences. Although the book promotes applications to health and health-related data, the
models in the book can be used to analyze any kind of data. The data are analyzed with the commonly
used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and
computing programs will be available to facilitate readers' learning experience. There has been
considerable attention to making statistical methods and analytics available to health data science
researchers and students. This book brings it all together to provide a concise point-of-reference
for the most commonly used statistical methods from the fundamental level to the advanced level. We
envisage this book will contribute to the rapid development in health data science. We provide
straightforward explanations of the collected statistical theory and models, compilations of a
variety of publicly available data, and illustrations of data analytics using commonly used
statistical software of SAS/R. We will have the data and computer programs available for readers to
replicate and implement the new methods. The primary readers would be applied data scientists and
practitioners in any field of data science, applied statistical analysts and scientists in public
health, academic researchers, and graduate students in statistics and biostatistics. The secondary
readers would be R&D professionals/practitioners in industry and governmental agencies. This
book can be used for both teaching and applied research.

商品描述(中文翻譯)

本書旨在彙編典型的基礎到進階的統計方法，以用於健康數據科學。雖然本書推廣應用於健康及健康相關數據，但書中的模型可以用來分析任何類型的數據。數據將使用常用的統計軟體 R/SAS 進行分析（並提供 SPSS/Stata 的線上補充資料）。數據和計算程式將可供讀者使用，以促進學習體驗。對於使統計方法和分析可供健康數據科學研究者和學生使用，已引起相當的關注。本書將所有內容整合在一起，提供從基礎到進階層級最常用的統計方法的簡明參考。我們預見本書將對健康數據科學的快速發展有所貢獻。我們提供所收集的統計理論和模型的簡單解釋，彙編各種公開可用的數據，以及使用常用統計軟體 SAS/R 進行數據分析的示例。我們將提供數據和計算程式，供讀者複製和實施新方法。主要讀者將是應用數據科學家和任何數據科學領域的從業者、公共衛生領域的應用統計分析師和科學家、學術研究者，以及統計和生物統計的研究生。次要讀者將是產業和政府機構的研發專業人員/從業者。本書可用於教學和應用研究。

作者簡介

Jeffrey Wilson, Ph.D. Professor in Biostatistics and Associate Dean of Research Department of Economics W. P. Carey School of Business, Arizona State University, USA.

Ding-Geng Chen, Ph.D. Professor and Executive Director in Biostatistics College of Health Solutions Arizona State University, USA.

Dr. Karl E. Peace is the Georgia Cancer Coalition Distinguished Cancer Scholar (GCCDCS), Senior Research Scientist and Professor of Biostatistics in the Jiann-Ping Hsu College of Public Health (JPHCOPH) at Georgia Southern University (GSU). He was responsible for establishing the Jiann-Ping Hsu College of Public Health - the first college of public health in the University System of GA (USG). He is the architect of the MPH in Biostatistics - the first-degree program in Biostatistics in the USG and Founding Director of the Karl E. Peace Center for Biostatistics in the JPHCOPH. Dr. Peace holds the Ph.D. in Biostatistics from the Medical College of Virginia, the M.S. in Mathematics from Clemson University, the B.S. in Chemistry from Georgia Southern College, and a Health Science Certificate from Vanderbilt University.

作者簡介(中文翻譯)

杰佛瑞·威爾遜（Jeffrey Wilson），博士，生物統計學教授及亞利桑那州立大學W. P. Carey商學院經濟學系研究副院長，美國。

陳鼎根（Ding-Geng Chen），博士，生物統計學教授及亞利桑那州立大學健康解決方案學院執行主任，美國。

卡爾·E·皮斯（Karl E. Peace）博士是喬治亞癌症聯盟傑出癌症學者（GCCDCS）、高級研究科學家及喬治亞南方大學（GSU）簡平徐公共衛生學院（JPHCOPH）生物統計學教授。他負責建立簡平徐公共衛生學院——喬治亞大學系統（USG）內第一所公共衛生學院。他是生物統計學碩士學位課程的設計者——USG內第一個生物統計學學位課程，並且是JPHCOPH卡爾·E·皮斯生物統計學中心的創始主任。皮斯博士擁有維吉尼亞醫學院的生物統計學博士學位、克萊姆森大學的數學碩士學位、喬治亞南方學院的化學學士學位，以及范德比特大學的健康科學證書。

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