Principles of Biostatistics, 3/e (Hardcover)

Pagano, Marcello, Gauvreau, Kimberlee, Mattie, Heather

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商品描述

Principles of Biostatistics, Third Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life. Thoroughly revised and updated, this third edition includes a new chapter introducing the basic principles of Study Design, as well as new sections on sample size calculations for two-sample tests on means and proportions, the Kruskal-Wallis test, and the Cox proportional hazards model.

Key Features:

  • Includes a new chapter on the basic principles of study design.
  • Additional review exercises have been added to each chapter.
  • Datasets and Stata and R code are available on the book's website.

The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them.

商品描述(中文翻譯)

《生物統計學原理,第三版》是一本以概念為基礎的統計程序入門書,旨在培養公共衛生、醫學和生命科學學生進行和評估研究的能力。本書以引人入勝的寫作風格和有用的圖表為特點,強調概念而非公式或機械記憶。作者們在整本書中使用實際、有趣的例子和真實數據,使內容生動有趣。第三版經過全面修訂和更新,新增了一章介紹研究設計的基本原則,以及關於兩樣本均值和比例檢驗的樣本大小計算、Kruskal-Wallis檢驗和Cox比例風險模型的新節。

主要特點:
- 新增了一章介紹研究設計的基本原則。
- 每章增加了額外的復習練習題。
- 書中的數據集、Stata和R代碼可在書籍網站上獲得。

本書分為三個部分。前五章介紹了數字集合以及總結、探索和解釋數字的方法。接下來的兩章著重於概率,介紹了後續研究不確定性所需的工具。直到第八章及以後,作者們才區分母體和樣本,並開始研究抽樣引入的固有變異性,從而進行推論。將稍微較難的概念推遲到建立了堅實基礎後,有助於讀者更容易理解。

作者簡介

Marcello Pagano is Professor of Statistical Computing in the Department of Biostatistics at the Harvard School of Public Health. His research in biostatistics is on computer intensive inference and surveillance methods that involve screening methodologies, with their associated laboratory tests, and in obtaining more accurate testing results that use existing technologies.

Kimberlee Gauvreau is Associate Professor in the Department of Biostatistics and Associate Professor of Pediatrics at Harvard Medical School. Dr. Gauvreau's research focuses on biostatistical issues arising in the field of pediatric cardiology. She also works on the development and validation of methods of adjustment for case mix complexity.

Heather Mattie is Lecturer on Biostatistics and the Co-Director Health Data Science Program at the Harvard School of Public Health.

作者簡介(中文翻譯)

Marcello Pagano是哈佛公共衛生學院生物統計學系的統計計算教授。他在生物統計學領域的研究主要集中在計算密集推論和監測方法,包括篩檢方法以及相關的實驗室測試,以及利用現有技術獲得更準確的測試結果。

Kimberlee Gauvreau是哈佛醫學院生物統計學系的副教授,也是兒科學的副教授。Gauvreau博士的研究主要關注兒科心臟病學領域中出現的生物統計問題。她還致力於開發和驗證病例混合複雜性調整方法。

Heather Mattie是哈佛公共衛生學院生物統計學系的講師,也是健康數據科學計劃的聯合主任。