Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences (Paperback)
暫譯: 藥理學與生物醫學科學的實驗設計與統計分析（平裝本）
Mitchell, Paul J.
- 出版商: Wiley
- 出版日期: 2022-04-18
- 售價: $1,480
- 貴賓價: 9.8 折 $1,450
- 語言: 英文
- 頁數: 256
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1119437636
- ISBN-13: 9781119437635
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商品描述
Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences
A practical guide to the use of basic principles of experimental design and statistical analysis in pharmacology
Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences provides clear instructions on applying statistical analysis techniques to pharmacological data. Written by an experimental pharmacologist with decades of experience teaching statistics and designing preclinical experiments, this reader-friendly volume explains the variety of statistical tests that researchers require to analyze data and draw correct conclusions.
Detailed, yet accessible, chapters explain how to determine the appropriate statistical tool for a particular type of data, run the statistical test, and analyze and interpret the results. By first introducing basic principles of experimental design and statistical analysis, the author then guides readers through descriptive and inferential statistics, analysis of variance, correlation and regression analysis, general linear modelling, and more. Lastly, throughout the textbook are numerous examples from molecular, cellular, in vitro, and in vivo pharmacology which highlight the importance of rigorous statistical analysis in real-world pharmacological and biomedical research.
This textbook also:
- Describes the rigorous statistical approach needed for publication in scientific journals
- Covers a wide range of statistical concepts and methods, such as standard normal distribution, data confidence intervals, and post hoc and a priori analysis
- Discusses practical aspects of data collection, identification, and presentation
- Features images of the output from common statistical packages, including GraphPad Prism, Invivo Stat, MiniTab and SPSS
Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences is an invaluable reference and guide for undergraduate and graduate students, post-doctoral researchers, and lecturers in pharmacology and allied subjects in the life sciences.
商品描述(中文翻譯)
**藥理學與生物醫學科學的實驗設計與統計分析**
**藥理學中實驗設計與統計分析基本原則的實用指南**
《藥理學與生物醫學科學的實驗設計與統計分析》提供了將統計分析技術應用於藥理數據的清晰指導。這本書由一位擁有數十年教學統計學和設計臨床前實驗經驗的實驗藥理學家撰寫，內容友好易讀，解釋了研究人員分析數據和得出正確結論所需的各種統計測試。
詳細而易於理解的章節解釋了如何為特定類型的數據確定適當的統計工具、執行統計測試以及分析和解釋結果。作者首先介紹實驗設計和統計分析的基本原則，然後引導讀者了解描述性統計和推論統計、變異數分析、相關性和回歸分析、一般線性模型等內容。最後，書中包含了來自分子、生物細胞、體外（in vitro）和體內（in vivo）藥理學的眾多例子，突顯了在現實世界的藥理學和生物醫學研究中嚴謹統計分析的重要性。
這本教科書還：
- 描述了在科學期刊上發表所需的嚴謹統計方法
- 涵蓋了廣泛的統計概念和方法，如標準正態分佈、數據置信區間，以及事後（post hoc）和事前（a priori）分析
- 討論了數據收集、識別和呈現的實際方面
- 特別展示了常見統計軟體（包括 GraphPad Prism、Invivo Stat、MiniTab 和 SPSS）的輸出圖像
《藥理學與生物醫學科學的實驗設計與統計分析》是本科生、研究生、博士後研究人員以及生命科學相關科目的講師的重要參考和指南。
作者簡介
Dr Paul J. Mitchell is Senior Lecturer and Associate Professor in the Department of Pharmacy and Pharmacology, University of Bath, UK, and Adjunct Lecturer in the Department of Pharmacology and Therapeutics, National University of Ireland (NUI), Galway, Ireland. He has more than 45 years' experience in experimental pharmacology, experimental design, and statistical analysis. For the last 25 years Dr Mitchell has collaborated with colleagues to develop a coherent strategy to teach experimental design and statistical analysis to undergraduate and graduate students across subject areas.
作者簡介(中文翻譯)
保羅·J·米切爾博士是英國巴斯大學藥學與藥理學系的高級講師及副教授，同時也是愛爾蘭國立大學（NUI）戈爾韋藥理學與治療學系的兼任講師。他在實驗藥理學、實驗設計和統計分析方面擁有超過45年的經驗。在過去的25年中，米切爾博士與同事合作，制定了一個連貫的策略，以教授本科生和研究生在各個學科領域的實驗設計和統計分析。
