Introductory Biostatistics, 2/e (Hardcover)
暫譯: 生物統計學入門(第二版,精裝本)

Chap T. Le, Lynn E. Eberly

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商品描述

Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields.

Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes:

• A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs

• A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes

• R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software

• Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts

• Notes on Computations sections to provide further guidance on the use of software

• A related website that hosts the large data sets presented throughout the book

Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.

商品描述(中文翻譯)

維持相同的可接觸性和實作性呈現,生物統計學導論(第二版)持續提供一個有組織的介紹,涵蓋在健康科學研究中常用的基本統計概念。這一新版包含大量的實際案例,提供了一種實用且現代的方式來探討生物醫學和公共衛生領域中的統計主題。

本書首先概述健康科學中的描述性統計,接著涵蓋了機率模型、參數估計和假設檢定等主題。隨後,本書專注於更高級的主題,包括迴歸分析、邏輯迴歸、計數資料的方法、生存資料分析以及臨床試驗設計。本書的這次全面更新包括:

• 一個新章節,介紹在因子設計和區塊設計中使用高階變異數分析(ANOVA)

• 一個新章節,針對重複測量結果的檢定和推論方法,包括連續型、二元型和計數型結果

• 整本書中都融入了 R 語言,並且提供 SAS®,使讀者能夠使用任一軟體重現所呈現範例的結果

• 多個額外練習題,並提供部分解答以幫助理解關鍵概念

• 計算部分的註解,提供進一步的軟體使用指導

• 一個相關網站,提供書中呈現的大型數據集

生物統計學導論(第二版)是高年級本科生和研究生在生物統計學入門課程中的優秀教科書。本書也是公共衛生、護理、牙醫學和醫學領域的應用統計學家理想的參考資料。