Understanding Biostatistics
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Understanding Biostatistics
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Author : Anders Källén
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-31
Understanding Biostatistics written by Anders Källén and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-31 with Medical categories.
Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different statistical methods really mean. Graphics are used extensively throughout the book in order to introduce mathematical formulae in an accessible way. Key features: Discusses confidence intervals and p-values in terms of confidence functions. Explains basic statistical methodology represented in terms of graphics rather than mathematical formulae, whilst highlighting the mathematical basis of biostatistics. Looks at problems of estimating parameters in statistical models and looks at the similarities between different models. Provides an extensive discussion on the position of statistics within the medical scientific process. Discusses distribution functions, including the Guassian distribution and its importance in biostatistics. This book will be useful for biostatisticians with little mathematical background as well as those who want to understand the connections in biostatistics and mathematical issues.
Biostatistics With Python
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Author : Darko Medin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-29
Biostatistics With Python written by Darko Medin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
Learn how to utilize biostatistics with Python for excelling in research and biomedical professions with practical exemplar projects Key Features Bridge the gap between biostatistics and life sciences with Python Work with practical exercises for real-world data analysis in biology and medicine Access a portfolio of exemplar projects in the domains of biomedicine, biotechnology, and biology Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book leverages the author’s decade-long experience in biostatistics and data science to simplify the practical use of biostatistics with Python. The chapters show you how to clean and describe your data effectively, setting a solid foundation for accurate analysis and proficiency in biostatistical inference to help you draw meaningful conclusions from your data through hypothesis testing and effect size analysis. The book walks you through predictive modeling to harness the power of Python to create robust predictive analytics that can drive your research and professional projects forward. You'll explore clinical biostatistics, learn how to design studies, conduct survival analysis, and synthesize evidence from multiple studies with meta-analysis – skills that are crucial for making informed decisions based on comprehensive data reviews. The concluding chapters will enhance your ability to analyze biological variables, enabling you to perform detailed and accurate data analysis for biological research. This book's unique blend of biostatistics and Python helps you find practical solutions that make complex concepts easy to grasp and apply. By the end of this biostatistics book, you’ll have moved from theoretical knowledge to practical experience, allowing you to perform biostatistical analysis confidently and accurately.What you will learn Get to grips with the basics of biostatistics and Python programming Clean and describe data using Python Familiarize yourself with hypothesis testing and effect size analysis Explore predictive modeling in biostatistics Understand clinical study design and survival analysis Gain a clear understanding of the meta-analysis of clinical research data Analyze biological variables with Python Discover practical data analysis for biological research Who this book is for This book is for life science professionals, researchers, biomedical professionals, and aspiring biostatisticians who want to integrate biostatistics into their work or research. A basic understanding of life sciences, biology, or medicine is recommended to fully benefit from this book.
Essential Biostatistics
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Author : Harvey Motulsky
language : en
Publisher: Oxford University Press
Release Date : 2016
Essential Biostatistics written by Harvey Motulsky and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Literary Criticism categories.
With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.
Easy Interpretation Of Biostatistics E Book
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Author : Gail F. Dawson
language : en
Publisher: Elsevier Health Sciences
Release Date : 2012-01-02
Easy Interpretation Of Biostatistics E Book written by Gail F. Dawson and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-02 with Medical categories.
Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book's organization is intuitive, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literature - and the vocabulary you need to discuss it. - Uses an easy-to-understand presentation and writing style to make the material easily accessible. - Places its emphasis on concepts, not formulas, for more clinical-based guidance. - Focuses on practical applications of biostatistics to medical practice to give you a better understanding of how and why research is conducted. - Presents concise but comprehensive coverage to create easily accessible yet complete information. - Provides examples, analogies, and memorization tips to make the material easier to absorb.
Biostatistics
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Author : Wayne W. Daniel
language : en
Publisher: John Wiley & Sons
Release Date : 2018-11-13
Biostatistics written by Wayne W. Daniel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Medical categories.
The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.
Methods And Biostatistics In Oncology
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Author : Raphael. L.C Araújo
language : en
Publisher: Springer
Release Date : 2018-04-16
Methods And Biostatistics In Oncology written by Raphael. L.C Araújo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-16 with Medical categories.
This book introduces and discusses the most important aspects of clinical research methods and biostatistics for oncologists, pursuing a tailor-made and practical approach. Evidence-based medicine (EBM) has been in vogue in the last few decades, particularly in rapidly advancing fields such as oncology. This approach has been used to support decision-making processes worldwide, sparking new clinical research and guidelines on clinical and surgical oncology. Clinical oncology research has many peculiarities, including specific study endpoints, a special focus on survival analyses, and a unique perspective on EBM. However, during medical studies and in general practice, these topics are barely taught. Moreover, even when EBM and clinical cancer research are discussed, they are presented in a theoretical fashion, mostly focused on formulas and numbers, rather than on clinical application for a proper literature appraisal. Addressing that gap, this book discusses more practical aspects of clinical research and biostatistics in oncology, instead of relying only on mathematical formulas and theoretical considerations. Methods and Biostatistics in Oncology will help readers develop the skills they need to understand the use of research on everyday oncology clinical practice for study design and interpretation, as well to demystify the use of EBM in oncology.
Foundations Of Biostatistics
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Author : M. Ataharul Islam
language : en
Publisher: Springer
Release Date : 2018-06-15
Foundations Of Biostatistics written by M. Ataharul Islam and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-15 with Medical categories.
This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension. The use of biostatistics techniques has increased manifold in the recent past, due to their suitability for applications in a wide range of problems in various fields. This book helps learners grasp the materials in detail, equipping them to use biostatistics techniques independently and confidently. The book starts with a summary of background materials, followed by methods and techniques. As such, with only minimum guidance from teachers, this book can provide materials for self-learning of biostatistics techniques with a deeper level of understanding. The first two chapters focus on fundamental concepts, sources of data, data types, organization of data, and descriptive statistics, followed by the basic probability concepts, distributions and sampling distributions needed in order to combine descriptive statistics with inferential techniques. Estimation and tests of hypotheses are illustrated in two separate chapters. Important measures of association, linear regression, analysis of variance and logistic regression, and proportional hazards models are then presented systematically, ensuring that the book covers the topics most essential to students and users of biostatistics in connection with a wide range of applications in various fields. The book has been carefully structured, and the content is presented in a sequence covering the essential background in a highly systematic manner, supporting the learning process by presenting theory and applications that complement one another.
The Essentials Of Biostatistics For Physicians Nurses And Clinicians
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Author : Michael R. Chernick
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-04
The Essentials Of Biostatistics For Physicians Nurses And Clinicians written by Michael R. Chernick and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-04 with Medical categories.
A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non-technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including: Correlation, regression, and logistic regression Diagnostics Estimating means and proportions Normal distribution and the central limit theorem Sampling from populations Contingency tables Meta-analysis Nonparametric methods Survival analysis Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, cross-over designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upper-undergraduate and graduate levels.
Statistical Analysis Demystified
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-01-15
Statistical Analysis Demystified written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Mathematics categories.
Unlock the power of data with "Statistical Analysis Demystified," your essential guide to mastering the art and science of statistics in an accessible and practical way. Perfectly crafted for students, professionals, or anyone eager to delve into the world of statistical analysis, this eBook presents complex concepts with clarity and simplicity. Begin your journey with an engaging introduction, where you’ll discover the pivotal role of statistics in modern life. You'll gain a solid foundation in both descriptive and inferential statistics, setting the stage for deeper exploration. Whether you’re handling data from social sciences or the intricacies of biological research, this book provides the guidance you need. Dive into the core principles of descriptive statistics, unraveling the mysteries of mean, median, and mode, while mastering measures of dispersion and data visualization techniques. Enhance your analytical skills with a thorough exploration of probability, including user-friendly explanations of probability distributions and Bayes' Theorem. Biostatistics enthusiasts will find tailored content exploring data collection, descriptive techniques, and practical applications in health studies. Transition smoothly into inferential statistics with clear insights into sampling methods, hypothesis testing, and confidence intervals—vital tools for making predictions based on your data. Advance your skills in regression analysis, ANOVA, and survival analysis, all tailored for applications in biostatistics. Tackle complex challenges like handling missing data with robust strategies, and navigate the ethical landscape of statistical methods with confidence and integrity. "Statistical Analysis Demystified" doesn't stop at theory. It guides you through real-world biostatistical challenges and emerging trends, setting you up as a future-ready statistical analyst. With additional resources and further reading suggestions, this book ensures your learning journey extends beyond its pages. Elevate your analytical expertise today and become a competent statistical analyst ready to tackle any data-driven challenge.
Basic Biostatistics For Geneticists And Epidemiologists
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Author : Robert C. Elston
language : en
Publisher: John Wiley & Sons
Release Date : 2008-11-20
Basic Biostatistics For Geneticists And Epidemiologists written by Robert C. Elston and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-20 with Medical categories.
Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.