Biostatistics for Medical and Biomedical Practitioners Book

Biostatistics for Medical and Biomedical Practitioners


  • Author : Julien I. E. Hoffman
  • Publisher : Academic Press
  • Release Date : 2019-03-19
  • Genre: Mathematics
  • Pages : 734
  • ISBN 10 : 9780128170854

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Biostatistics for Medical and Biomedical Practitioners Excerpt :

Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields. Based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields, it is a valuable source for researchers who need to understand more about biostatistics to apply it to their work. Introduces procedures, such as multiple regression, Poisson distribution, binomial and multinomial distributions, variance analysis, and how to design and sample clinical trials Presents a new section on ANCOVA Gives references to free online tests Includes over 200 diagrams, enabling the reader to visualize the results Discusses NHST testing in detail, its disadvantages, and how to think about probability

Basic Biostatistics for Medical and Biomedical Practitioner Book

Basic Biostatistics for Medical and Biomedical Practitioner


  • Author : Julien I. E. Hoffman
  • Publisher : Academic Press
  • Release Date : 2019-03
  • Genre: Uncategoriezed
  • Pages : 750
  • ISBN 10 : 0128170840

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Basic Biostatistics for Medical and Biomedical Practitioner Excerpt :

Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition, makes it easier to plan experiments, with emphasis on sample size. It also shows what choices are available when simple tests are unsuitable, and offers investigators an overview of complex tests that they will not do on their own, but need to know how they work. The second edition presents a new revised and enhanced version of the chapters, taking into consideration new developments and tools available recently, and discusses topics such as basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. 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, and it is a valuable source for researchers who need to understand more about biostatistics to apply to their work. Basic Biostatistics for Medical and Biomedical Practitioners, second edition is a valuable source for students and researchers looking to expand or refresh the understanding of statistics as it applies to the biomedical and research fields. Introduces procedures such as multiple regression, Poisson distribution, binomial and multinomial distributions, variance analysis, as well as designing and sampling clinical trials Presents a new section on ANCOVA Gives references to free online tests Each statistical inferential test is followed immediately by a problem, to give readers, the opportunity to perform the test and interpret it Includes over 200 diagrams, which enables the reader to visualize the results Discusses NHST testing in detail, its disadvantages and how to think about probability; the unsafety of accepting P

The Essentials of Biostatistics for Physicians  Nurses  and Clinicians Book

The Essentials of Biostatistics for Physicians Nurses and Clinicians


  • Author : Michael R. Chernick
  • Publisher : John Wiley & Sons
  • Release Date : 2011-08-04
  • Genre: Medical
  • Pages : 228
  • ISBN 10 : 9781118071946

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The Essentials of Biostatistics for Physicians Nurses and Clinicians Excerpt :

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

Biostatistics and Epidemiology Book

Biostatistics and Epidemiology


  • Author : Sylvia Wassertheil-Smoller
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • Genre: Science
  • Pages : 119
  • ISBN 10 : 9781475738872

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Biostatistics and Epidemiology Excerpt :

Biostatistics and Epidemiology/A Primer for Health Professionals offers practical guidelines and gives a concise framework for research and interpretation in the field. In addition to major sections covering statistics and epidemiology, the book includes a comprehensive exploration of scientific methodology, probability, and the clinical trial. The principles and methods described in this book are basic and apply to all medical subspecialties, psychology and education. The primer will be especially useful to public health officials and students looking for an understandable treatment of the subject.

The Essentials of Biostatistics for Physicians  Nurses  and Clinicians Book

The Essentials of Biostatistics for Physicians Nurses and Clinicians


  • Author : Michael R. Chernick
  • Publisher : John Wiley & Sons
  • Release Date : 2011-09-27
  • Genre: Medical
  • Pages : 226
  • ISBN 10 : 9780470641859

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The Essentials of Biostatistics for Physicians Nurses and Clinicians Excerpt :

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

Basic Biostatistics for Geneticists and Epidemiologists Book

Basic Biostatistics for Geneticists and Epidemiologists


  • Author : Robert C. Elston
  • Publisher : John Wiley & Sons
  • Release Date : 2008-11-20
  • Genre: Medical
  • Pages : 384
  • ISBN 10 : 9780470024911

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Basic Biostatistics for Geneticists and Epidemiologists Excerpt :

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.

Essential Statistical Methods for Medical Statistics Book

Essential Statistical Methods for Medical Statistics


  • Author : J. Philip Miller
  • Publisher : Elsevier
  • Release Date : 2010-11-08
  • Genre: Mathematics
  • Pages : 368
  • ISBN 10 : 0444537384

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Essential Statistical Methods for Medical Statistics Excerpt :

Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. · Contributors are internationally renowned experts in their respective areas · Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research · Methods for assessing Biomarkers, analysis of competing risks · Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs · Structural equations modelling and longitudinal data analysis

Statistics in Medicine Book

Statistics in Medicine


  • Author : Robert H. Riffenburgh
  • Publisher : Academic Press
  • Release Date : 2006
  • Genre: Mathematics
  • Pages : 680
  • ISBN 10 : UOM:39015062432235

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Statistics in Medicine Excerpt :

Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context. Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises Two-part design features course material and a professional reference section Chapter summaries provide a review of formulas, method algorithms, and check lists Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods New in this Edition: New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions Updated database coverage and additional exercises Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression Thorough discussion on required sample size

Statistical Advances in the Biomedical Sciences Book

Statistical Advances in the Biomedical Sciences


  • Author : Atanu Biswas
  • Publisher : John Wiley & Sons
  • Release Date : 2007-12-14
  • Genre: Mathematics
  • Pages : 616
  • ISBN 10 : 0470181192

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Statistical Advances in the Biomedical Sciences Excerpt :

The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand complex problems in the four major areas of modern-day biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Composed of contributions from eminent researchers in the field, this volume discusses the application of statistical techniques to various aspects of modern medical research and illustrates how these methods ultimately prove to be an indispensable part of proper data collection and analysis. A structural uniformity is maintained across all chapters, each beginning with an introduction that discusses general concepts and the biomedical problem under focus and is followed by specific details on the associated methods, algorithms, and applications. In addition, each chapter provides a summary of the main ideas and offers a concluding remarks section that presents novel ideas, approaches, and challenges for future research. Complete with detailed references and insight on the future directions of biomedical research, Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practitioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate- and PhD-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool

ESSENTIALS OF BIOSTATISTICS Book
Score: 5
From 1 Ratings

ESSENTIALS OF BIOSTATISTICS


  • Author : INDRANIL SAHA
  • Publisher : Academic Publishers
  • Release Date : 2016-06-22
  • Genre: Medical
  • Pages : 200
  • ISBN 10 : 9789383420711

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ESSENTIALS OF BIOSTATISTICS Excerpt :

Biostatistics Book

Biostatistics


  • Author : Wayne W. Daniel
  • Publisher : Wiley
  • Release Date : 2018-11-13
  • Genre: Medical
  • Pages : 720
  • ISBN 10 : 9781119282372

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Biostatistics Excerpt :

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.

Statistical Modeling for Biomedical Researchers Book
Score: 4
From 1 Ratings

Statistical Modeling for Biomedical Researchers


  • Author : William D. Dupont
  • Publisher : Cambridge University Press
  • Release Date : 2009-02-12
  • Genre: Medical
  • Pages : null
  • ISBN 10 : 9781139643818

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Statistical Modeling for Biomedical Researchers Excerpt :

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/.

Statistics of Medical Imaging Book

Statistics of Medical Imaging


  • Author : Tianhu Lei
  • Publisher : CRC Press
  • Release Date : 2011-12-19
  • Genre: Science
  • Pages : 438
  • ISBN 10 : 9781420088434

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Statistics of Medical Imaging Excerpt :

Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging technologies have been extensively studied during past decades. However, less work has been done on the statistical aspects of these techniques. Statistics of Medical Imaging fills this gap and provides a theoretical framework for statistical investigation into medical imaging technologies. Features Describes physical principles and mathematical procedures of two medical imaging techniques: X-ray CT and MRI Presents statistical properties of imaging data (measurements) at each stage in the imaging processes of X-ray CT and MRI Demonstrates image reconstruction as a transform from a set of random variables (imaging data) to another set of random variables (image data) Presents statistical properties of image data (pixel intensities) at three levels: a single pixel, any two pixels, and a group of pixels (a region) Provides two stochastic models for X-ray CT and MR image in terms of their statistics and two model-based statistical image analysis methods Evaluates statistical image analysis methods in terms of their detection, estimation, and classification performances Indicates that X-ray CT, MRI, PET and SPECT belong to a category of imaging: the non-diffraction computed tomography Rather than offering detailed descriptions of statistics of basic imaging protocols of X-ray CT and MRI, this book provides a method to conduct similar statistical investigations into more complicated imaging protocols.

Applied Mathematics for the Analysis of Biomedical Data Book

Applied Mathematics for the Analysis of Biomedical Data


  • Author : Peter J. Costa
  • Publisher : John Wiley & Sons
  • Release Date : 2017-02-21
  • Genre: Mathematics
  • Pages : 448
  • ISBN 10 : 9781119269519

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Applied Mathematics for the Analysis of Biomedical Data Excerpt :

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data. The primary focus is on the application of mathematical models and scientific computing methods to provide insight into the behavior of biological systems. The author draws upon his experience in academia, industry, and government–sponsored research as well as his expertise in MATLAB to produce a suite of computer programs with applications in epidemiology, machine learning, and biostatistics. These models are derived from real–world data and concerns. Among the topics included are the spread of infectious disease (HIV/AIDS) through a population, statistical pattern recognition methods to determine the presence of disease in a diagnostic sample, and the fundamentals of hypothesis testing. In addition, the author uses his professional experiences to present unique case studies whose analyses provide detailed insights into biological systems and the problems inherent in their examination. The book contains a well-developed and tested set of MATLAB functions that act as a general toolbox for practitioners of quantitative biology and biostatistics. This combination of MATLAB functions and practical tips amplifies the book’s technical merit and value to industry professionals. Through numerous examples and sample code blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the associated toolbox permits readers to engage in the process of data analysis without needing to delve deeply into the mathematical theory. This gives an accessible view of the material for readers with varied backgrounds. As a result, the book provides a streamlined framework for t