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Author: Anders Källén
Publisher: John Wiley & Sons
ISBN: 1119993504
Category : Medical
Languages : en
Pages : 334
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Book Description
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.
Author: Anders Källén
Publisher: John Wiley & Sons
ISBN: 1119993504
Category : Medical
Languages : en
Pages : 334
Get Book Here
Book Description
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.
Author: Thomas H. Hassard
Publisher: Mosby Elsevier Health Science
ISBN:
Category : Science
Languages : en
Pages : 340
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Book Description
Author: Gail F. Dawson
Publisher: Elsevier Health Sciences
ISBN: 145574235X
Category : Medical
Languages : en
Pages : 204
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Book Description
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.
Author: Harvey Motulsky
Publisher: Oxford University Press
ISBN: 0199365067
Category : Literary Criticism
Languages : en
Pages : 209
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Book Description
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.
Author: Raphael. L.C Araújo
Publisher: Springer
ISBN: 3319713248
Category : Medical
Languages : en
Pages : 354
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Book Description
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.
Author: Robert C. Elston
Publisher: John Wiley & Sons
ISBN: 0470024917
Category : Medical
Languages : en
Pages : 384
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Book Description
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.
Author: Robert DiCenzo
Publisher:
ISBN: 9781932658781
Category : Biometry
Languages : en
Pages : 167
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Book Description
Whether you are interpreting the medical literature to optimize patient care, improve health outcomes, or generate hypothesis for research, an understanding of biostatistics is essential for success. Despite exposure to biostatistics in undergraduate and professional education, pharmacists tend to be less confident in their knowledge of biostatistics and their ability to interpret the medical literature than in their clinical skills. This book was developed to bolster the pharmacist's knowledge and confidence for using biostatistical tools for interpreting the literature. With material drawn from ACCP's renowned Pharmacotherapy Self-Assessment Program (PSAP) and the live pharmacotherapy preparatory course Updates in Therapeutics, editor Robert DiCenzo, Pharm.D., FCCP, BCPS, has designed this review to support pharmacists' preparation for the Pharmacotherapy and Ambulatory Care Board of Pharmacy Specialties (BPS) examinations.
Author: Wayne W. Daniel
Publisher: Wiley
ISBN: 1119282373
Category : Medical
Languages : en
Pages : 720
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Book Description
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.
Author: Julien I. E. Hoffman
Publisher: Academic Press
ISBN: 0128026073
Category : Mathematics
Languages : en
Pages : 772
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Book Description
Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences. The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors. The book is based on the author's 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields. - Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.) - Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums - Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies
Author: Bryan Kestenbaum
Publisher: Springer Science & Business Media
ISBN: 0387884335
Category : Medical
Languages : en
Pages : 242
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Book Description
Concise, fast-paced, intensive introduction to clinical research design for students and clinical research professionals Readers will gain sufficient knowledge to pass the United States Medical Licensing Examination part I section in Epidemiology
