November 30, 2020

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Practical Biostatistics

Practical Biostatistics
Author : Mendel Suchmacher,Mauro Geller
Publisher : Academic Press
Release Date : 2012-07-26
Category : Computers
Total pages :248
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Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards. Practical Biostatistics provides researchers, medical professionals, and students with a friendly, practical guide to biostatistics. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or a hands-on guide to effectively incorporate biostatistics in clinical trials. Customized presentation for biological investigators with examples taken from current clinical trials in multiple disciplines Clear and concise definitions and examples provide a pragmatic guide to bring clarity to the applications of statistics in improving human health Addresses the challenge of assimilation of mathematical concepts to better interpret literature, to build stronger studies, to present research effectively, and to improve communication with supporting biostatisticians

Practical Biostatistics

Practical Biostatistics
Author : Mendel Suchmacher,Mauro Geller
Publisher : Academic Press
Release Date : 2021-04-15
Category : Computers
Total pages :320
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Practical Biostatistics: A Friendly Step-by-Step Approach for Evidence-Based Medicine, now in an updated second edition, presents a complete resource of biostatistical knowledge meant for health sciences students and researchers, as well as health care professionals. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making using statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards, and they can find all the relevant information to achieve their goals in this book. The content is split into 5 sections: the investigator's hypothesis; collective health; observational studies; biostatistics of intervention studies - the clinical trials; and additional concepts in biostatistics. The chapters are written in a didactic way to make them easier to comprehend by readers with little or no background on statistics. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or a hands-on guide to effectively incorporate biostatistics in clinical trials and research projects. Explains biostatistics in a didactic way for students, researchers and professionals of health sciences with little or no background on mathematics, tailored for their specific needs Presents a new section dedicated to epidemiology and public health, broadening the content from the previous edition Written by medical doctors with vast experience on biostatistics and teaching, developing the content based on real cases for better applicability by readers

Practical Biostatistics in Translational Healthcare

Practical Biostatistics in Translational Healthcare
Author : Allen M. Khakshooy,Francesco Chiappelli
Publisher : Springer
Release Date : 2018-07-28
Category : Medical
Total pages :227
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There is an ever-increasing emphasis on evidence-based medicine that is distinguished by systematic crafting of the patient-centered research question, detailed literature searches, and careful appraisal of the resulting evidence. The consensus that ultimately emerges must then be applied in specific clinical settings, and it is to this process that translational effectiveness analysis refers. This portable and easy-to-use handbook is intended as a practical teaching guide on translational effectiveness for students and clinicians. Specifically, it will serve as a primer on patient-centered outcomes research methodology in the health sciences and explain how to acquire and understand the fundamental data that determine which reports are valued as the “best available” evidence. It presents an accessible and readily intelligible set of principles which doctors, dentists, nurses, and insurance carriers will be able to use in the process of health care-related decision-making. ​

Introductory Practical Biostatistics

Introductory Practical Biostatistics
Author : M. K. Misra
Publisher : Unknown
Release Date : 1998
Category : Biometry
Total pages :190
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Basic Biostatistics for Geneticists and Epidemiologists

Basic Biostatistics for Geneticists and Epidemiologists
Author : Robert C. Elston,William Johnson
Publisher : John Wiley & Sons
Release Date : 2008-11-20
Category : Medical
Total pages :384
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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.

Biostatistics for Medical and Biomedical Practitioners

Biostatistics for Medical and Biomedical Practitioners
Author : Julien I. E. Hoffman
Publisher : Academic Press
Release Date : 2015-09-03
Category : Medical
Total pages :770
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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

Measurement in Medicine

Measurement in Medicine
Author : Henrica C. W. de Vet,Caroline B. Terwee,Lidwine B. Mokkink,Dirk L. Knol
Publisher : Cambridge University Press
Release Date : 2011-08-11
Category : Medical
Total pages :129
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The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.

Exam Prep Flash Cards for Practical Biostatistics: A ...

Exam Prep Flash Cards for Practical Biostatistics: A ...
Author : Anonim
Publisher : Unknown
Release Date : 2020
Category :
Total pages :129
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Fundamentals Of Biostatistics: Practical Approach

Fundamentals Of Biostatistics: Practical Approach
Author : Naren Kr. Dutta
Publisher : Kanishka Publishers
Release Date : 2002
Category : Biometry
Total pages :472
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Basic Epidemiological Methods and Biostatistics

Basic Epidemiological Methods and Biostatistics
Author : Randy M. Page,Galen E. Cole,Thomas C. Timmreck
Publisher : Jones & Bartlett Learning
Release Date : 1995
Category : Medical
Total pages :433
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This text is an easy-to-understand, application-oriented guidebook for learning the basic principles of epidemiologic investigation. Numerous opportunities are presented to apply and test learning through problems and application exercises. Answers are provided.

Applied Epidemiology and Biostatistics

Applied Epidemiology and Biostatistics
Author : Giuseppe La Torre
Publisher : SEEd
Release Date : 2010-11-25
Category : Medical
Total pages :400
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This book provides not only the theory of biostatistics, but also the opportunity of applying it in practice. In fact, each chapter presents one or more specific examples on how to perform an epidemiological or statistical data analysis and includes download access to the software and databases, giving the reader the possibility of replicating the analyses described.

Statistical Learning for Biomedical Data

Statistical Learning for Biomedical Data
Author : James D. Malley,Karen G. Malley,Sinisa Pajevic
Publisher : Cambridge University Press
Release Date : 2011-02-24
Category : Medical
Total pages :129
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This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random ForestsTM, neural nets, support vector machines, nearest neighbors and boosting.

Applied Mixed Model Analysis

Applied Mixed Model Analysis
Author : Jos W. R. Twisk
Publisher : Cambridge University Press
Release Date : 2019-04-30
Category : Mathematics
Total pages :300
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Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.

Biostatistical Design and Analysis Using R

Biostatistical Design and Analysis Using R
Author : Dr Murray Logan
Publisher : John Wiley & Sons
Release Date : 2011-09-20
Category : Science
Total pages :576
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R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphing exploratory data analysis and graphical summaries regression (linear, multi and non-linear) simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures) frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.

Practical Statistics for Medical Research

Practical Statistics for Medical Research
Author : Douglas G. Altman
Publisher : CRC Press
Release Date : 1990-11-22
Category : Mathematics
Total pages :624
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Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced