The product is a textbook titled "Design and Analysis of Vaccine Studies" from the series "Statistics for Biology and Health Ser." authored by Claudio J. Struchiner, Ira M. Longini Jr., and M. Elizabeth Halloran. Published by Springer New York in 2009, this hardcover book spans 390 pages and covers topics in preventive medicine, epidemiology, and diseases, with a focus on vaccine design and analysis. The book is designed for medical professionals and students looking to deepen their understanding of statistical methods in the context of public health and infectious diseases.
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Statistics With R for Data Analysis, Hardcover by Nady, Mohsen, ISBN 1779563531, ISBN-13 9781779563538, Like New Used, Free shipping in the US This book introduces readers to the fundamental principles of statistics while leveraging R, a powerful programming language for data analysis. It covers essential topics such as data visualization, hypothesis testing, regression, and machine learning, equipping readers with the skills to analyze and interpret data effectively. With practical examples and hands-on exercises, th is suitable for beginners and intermediate learners looking to enhance their statistical analysis capabilities in academic and professional settings.
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From the reviews:"For many people dealing with statistics is like jumping into ice-cold water. This metaphor is depicted by the cover of this book . full of excellent example code and for most graphs and analyses the code is printed and explained in detail. Each example finishes with valuable information for a person new to a technique. In summary, I highly recommend the book to anyone who is familiar with basic statistics who wants to expand his/her statistical knowledge to analyse ecological data." (Bernd Gruber, Basic and Applied Ecology, Vol. 10, 2009)"This book is written in a very approachable conversational style. The additional focus on the heuristics of the process rather than just a rote recital of theory and equations is commendable.
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If you want to learn to use R for data analysis but aren't sure how to get started, this practical book will help you find the right path through your data. Encourages you to learn by doing when running and adapting the authors' own code.
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The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs.
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