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Practical Biostatistics

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Practical Biostatistics

Practical Biostatistics Book
Author : Mendel Suchmacher,Mauro Geller
Publisher : Academic Press
Release : 2012-07-26
ISBN : 0124158579
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Mendel Suchmacher,Mauro Geller
Publisher : Academic Press
Release : 2021-06-04
ISBN : 0323898971
Language : En, Es, Fr & De

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Book Description :

Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator’s hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how 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 Presents a new section dedicated to epidemiology and public health, broadening content from the previous edition Written by medical doctors with vast experience on biostatistics and teaching who develop the content based on real cases for better applicability by readers

Practical Biostatistics in Translational Healthcare

Practical Biostatistics in Translational Healthcare Book
Author : Allen M. Khakshooy,Francesco Chiappelli
Publisher : Springer
Release : 2018-06-23
ISBN : 3662574373
Language : En, Es, Fr & De

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Book Description :

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. ​

Practical Transfusion Medicine

Practical Transfusion Medicine Book
Author : Michael F. Murphy,Derwood H. Pamphilon
Publisher : John Wiley & Sons
Release : 2013-07-03
ISBN : 1118702999
Language : En, Es, Fr & De

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Book Description :

Highly Commended - 2010 BMA Medical Book Awards An essential, practical manual for all those working in transfusion medicine Concise and user-friendly guide to transfusion medicine Focuses on clinical aspects but also covers background science and organizational issues Complications encountered in transfusion are addressed throughout Highlights controversial issues and provides advice for everyday clinical questions in transfusion medicine This comprehensive guide to transfusion medicine takes a practical and didactic approach. The third edition of this text includes many new contributions and has expanded to seven sections. The first of these takes the reader systematically through the principles of transfusion medicine. The second deals with the complications which can arise in transfusion and is followed by a section on the practice of transfusion in blood centres and hospitals. The fourth section covers clinical transfusion practice and the fifth looks at alternatives to transfusion. Section six addresses cellular and tissue therapy and organ transplantation and the final section of the book examines the development of the evidence base for transfusion. As with previous editions; the final section includes a visionary chapter on future advances in the field. This new edition of Practical Transfusion Medicine benefits from even more international authorship than the previous two editions and is an invaluable resource for trainee doctors, scientists, technicians and other staff in haematology and transfusion and as a reference book for clinical staff in haematology and other disciplines faced with specific problems.

Applied Mixed Model Analysis

Applied Mixed Model Analysis Book
Author : Jos W. R. Twisk
Publisher : Cambridge University Press
Release : 2019-04-18
ISBN : 1108480578
Language : En, Es, Fr & De

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Book Description :

Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.

Practical Statistics for Medical Research

Practical Statistics for Medical Research Book
Author : Douglas G. Altman
Publisher : CRC Press
Release : 1990-11-22
ISBN : 1000228819
Language : En, Es, Fr & De

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Book Description :

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

Biostatistics Using JMP

Biostatistics Using JMP Book
Author : Trevor Bihl
Publisher : SAS Institute
Release : 2017-10-03
ISBN : 1635262410
Language : En, Es, Fr & De

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Book Description :

Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.

Survival Analysis for Epidemiologic and Medical Research

Survival Analysis for Epidemiologic and Medical Research Book
Author : Steve Selvin
Publisher : Cambridge University Press
Release : 2008-03-03
ISBN : 1139471244
Language : En, Es, Fr & De

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Book Description :

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.

Basic Biostatistics for Geneticists and Epidemiologists

Basic Biostatistics for Geneticists and Epidemiologists Book
Author : Robert C. Elston,William Johnson
Publisher : John Wiley & Sons
Release : 2008-11-20
ISBN : 0470024917
Language : En, Es, Fr & De

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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.

Introductory Practical Biostatistics

Introductory Practical Biostatistics Book
Author : M. K. Misra
Publisher : Unknown
Release : 1998
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Introductory Practical Biostatistics book written by M. K. Misra, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Statistical Learning for Biomedical Data

Statistical Learning for Biomedical Data Book
Author : James D. Malley,Karen G. Malley,Sinisa Pajevic
Publisher : Cambridge University Press
Release : 2011-02-24
ISBN : 1139496859
Language : En, Es, Fr & De

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Book Description :

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.

Exposure Response Modeling

Exposure Response Modeling Book
Author : Jixian Wang
Publisher : CRC Press
Release : 2015-07-17
ISBN : 146657321X
Language : En, Es, Fr & De

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Book Description :

Discover the Latest Statistical Approaches for Modeling Exposure-Response RelationshipsWritten by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response modeling, from traditional pharmacokinetic-pharmacody

Measurement in Medicine

Measurement in Medicine Book
Author : Henrica C. W. de Vet,Caroline B. Terwee,Lidwine B. Mokkink,Dirk L. Knol
Publisher : Cambridge University Press
Release : 2011-08-11
ISBN : 1139497812
Language : En, Es, Fr & De

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Book Description :

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.

Secondary Data Sources for Public Health

Secondary Data Sources for Public Health Book
Author : Sarah Boslaugh
Publisher : Cambridge University Press
Release : 2007-04-09
ISBN : 9781139464475
Language : En, Es, Fr & De

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Book Description :

Secondary data play an increasingly important role in epidemiology and public health research and practice; examples of secondary data sources include national surveys such as the BRFSS and NHIS, claims data for the Medicare and Medicaid systems, and public vital statistics records. Although a wealth of secondary data is available, it is not always easy to locate and access appropriate data to address a research or policy question. This practical guide circumvents these difficulties by providing an introduction to secondary data and issues specific to its management and analysis, followed by an enumeration of major sources of secondary data in the United States. Entries for each data source include the principal focus of the data, years for which it is available, history and methodology of the data collection process, and information about how to access the data and supporting materials, including relevant details about file structure and format.

Biostatistical Design and Analysis Using R

Biostatistical Design and Analysis Using R Book
Author : Dr Murray Logan
Publisher : John Wiley & Sons
Release : 2011-09-20
ISBN : 144436247X
Language : En, Es, Fr & De

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Book Description :

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.

Introductory Biostatistics

Introductory Biostatistics Book
Author : Chap T. Le,Lynn E. Eberly
Publisher : John Wiley & Sons
Release : 2016-04-22
ISBN : 1118596072
Language : En, Es, Fr & De

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Book Description :

Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.

Concise Encyclopedia of Biostatistics for Medical Professionals

Concise Encyclopedia of Biostatistics for Medical Professionals Book
Author : Abhaya Indrayan,Martin P. Holt
Publisher : CRC Press
Release : 2016-11-25
ISBN : 1315355574
Language : En, Es, Fr & De

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Book Description :

Concise Encyclopedia of Biostatistics for Medical Professionals focuses on conceptual knowledge and practical advice rather than mathematical details, enhancing its usefulness as a reference for medical professionals. The book defines and describes nearly 1000 commonly and not so commonly used biostatistical terms and methods arranged in alphabetical order. These range from simple terms, such as mean and median to advanced terms such as multilevel models and generalized estimating equations. Synonyms or alternative phrases for each topic covered are listed with a reference to the topic.

Biostatistics and Computer based Analysis of Health Data using Stata

Biostatistics and Computer based Analysis of Health Data using Stata Book
Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Release : 2016-09-06
ISBN : 0081010842
Language : En, Es, Fr & De

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Book Description :

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. Provides detailed examples of the use of Stata for common biostatistical tasks in medical research Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections Includes an appendix to help the reader familiarize themselves with additional packages and commands Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data

Biostatistics for Medical and Biomedical Practitioners

Biostatistics for Medical and Biomedical Practitioners Book
Author : Julien I. E. Hoffman
Publisher : Academic Press
Release : 2015-09-03
ISBN : 0128026073
Language : En, Es, Fr & De

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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