A Hands-On Approach to Teaching Introductory Statistics
Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets.
New to the Second Edition
A new chapter on non-linear regression models
A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken
Additional exercises in most chapters
A summary of statistical formulas related to the specific designs used to teach the statistical concepts
This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.
Автор: Kuang Название: Introduction to Mathematical Oncology ISBN: 158488990X ISBN-13(EAN): 9781584889908 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models.
After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts.
Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.
Автор: Christopher H Schmid Название: Handbook Of Meta-Analysis ISBN: 1498703984 ISBN-13(EAN): 9781498703987 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.
Автор: Susan Carr , Nigel Unwin, Tanja Pless-Mulloli Название: An introduction to public health and epidemiology ISBN: 0335216242 ISBN-13(EAN): 9780335216246 Издательство: McGraw-Hill Рейтинг: Цена: 4803.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a multi-professional introduction to the key concepts in public health and epidemiology. It presents a broad, interactive account of contemporary public health, placing an emphasis on developing public health skills and stimulating the reader to think through the issues for themselves.
Автор: Michael C. Whitlock, Dolph Schluter Название: The Analysis of Biological Data ISBN: 1319325343 ISBN-13(EAN): 9781319325343 Издательство: Macmillan Learning Рейтинг: Цена: 13858.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Описание: Now in its fourth edition, Essential Epidemiology is an engaging and accessible introduction to the foundations of epidemiology. It addresses the study of infectious and chronic diseases, public health and clinical epidemiology, and the role of epidemiology in a range of health monitoring and research activities.
Автор: Ding-Geng (Din) Chen, Karl E. Peace Название: Applied Meta-Analysis with R and Stata ISBN: 0367183838 ISBN-13(EAN): 9780367183837 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, this book shows how to implement statistical meta-analysis methods to real data using R and Stata.
Автор: Vynnycky, Emilia; White, Richard Название: An Introduction to Infectious Disease Modelling (Paperback) ISBN: 0198565763 ISBN-13(EAN): 9780198565765 Издательство: Oxford Academ Рейтинг: Цена: 6968.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will provide public health and infectious disease researchers with the tools to use and critically evaluate the mathematical models that are increasingly being used to interpret and predict the dynamics and control of infectious diseases.
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