"Experimental Design and Statistical Analysis of Pharmacology and the biomedical Sciences" - это практическое руководство по использованию основных принципов экспериментального дизайна и статистического анализа в фармакологии и биомедицинских науках. Книга представляет собой ясное объяснение применения статистических методов для анализа фармакологических данных. Автор - опытный фармаколог с многолетним опытом преподавания статистики и планирования доклинических исследований. Автор рассказывает читателю о разнообразии статистических тестов, которые необходимы исследователям для анализа данных и вывода правильных заключений. В книге представлены подробные, но доступные главы, объясняющие, как определить подходящий статистический инструмент для определенного типа данных, выполнить статистический тест, проанализировать и интерпретировать результаты. Кроме того, в книге есть множество примеров из молекулярной, клеточной, in vitro и in vivo фармакологии. Все это демонстрирует важность строгой статистической анализа в реальной фармакологической и медицинской исследовательской работе.
Книга также описывает строгий статистический подход, необходимый для публикации в научных журналах, охватывает широкий круг статистических концепций и методов, таких как стандартное нормальное распределение, доверительные интервалы данных и пост-анализ (a priori) и анализ. Она также обсуждает практические аспекты сбора, идентификации и представления данных.
Experimental Design and Statistical Methods in Pharmacology & the Biomedical Sciences is a practical guide on the use and application of experimental principles and methods. This book, co-written by Paul J.Mitchell, draws on his decades of teaching experience in Statistics and Experimental approaches, with the intention of helping you make the right methodological decisions. It is concerned about Logical and Scientific methods of procedures in Experimental Systems, with a special focus on pharmacology, general biology, race studies and nursing and the health sciences. The book handholds you: How to make determination of proper Statistical Tool for a specific Data type? How to go about Conducting the Statistical Test? Where and how do you analyze and give Interpretation to results? In 18 very clearly delineated Chapters, Illustrative Examples from Molecular, Cellular In Vitro and In Vivo Pharmacology Hills the Urgency of Rigorous Statistical Processing in Practical and Scientific Pharmaceutical and Health scientific double-blind investigations. The Textbook Covers: Solid statistical Software Application like Graphpad Prism InvivoStat and MiniTab. Imgures illustrate Interpretation and Presentation of your data.
Электронная Книга «Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences» написана автором Paul J. Mitchell в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119437666
Описание книги от Paul J. Mitchell
Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences [b]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[/i] 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.
