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Practical Biostatistics

Practical Biostatistics
  • Author : Mendel Suchmacher,Mauro Geller
  • Publisher :Unknown
  • Release Date :2012-07-26
  • Total pages :248
  • ISBN : 9780124158573
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Summary : 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 :Unknown
  • Release Date :2012
  • Total pages :236
  • ISBN : 9780124157941
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Summary : *Customized presentation for biological investigators with examples taken from current clinical trials in multiple disciplines.

Practical Biostatistics

Practical Biostatistics
  • Author : Mendel Suchmacher,Mauro Geller
  • Publisher :Unknown
  • Release Date :2021-04-15
  • Total pages :320
  • ISBN : 0323901026
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Summary : 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 :Unknown
  • Release Date :2018-07-28
  • Total pages :227
  • ISBN : 9783662574379
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Summary : 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 : B. N. Misra,M. K. Misra
  • Publisher :Unknown
  • Release Date :1983
  • Total pages :190
  • ISBN : 8185421455
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Summary :

Biostatistics for Medical and Biomedical Practitioners

Biostatistics for Medical and Biomedical Practitioners
  • Author : Julien I. E. Hoffman
  • Publisher :Unknown
  • Release Date :2015-09-03
  • Total pages :770
  • ISBN : 9780128026076
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Summary : 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

Basic Biostatistics for Geneticists and Epidemiologists

Basic Biostatistics for Geneticists and Epidemiologists
  • Author : Robert C. Elston,William Johnson
  • Publisher :Unknown
  • Release Date :2008-11-20
  • Total pages :384
  • ISBN : 9780470024911
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Summary : 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.

Practical Statistics for Medical Research

Practical Statistics for Medical Research
  • Author : Douglas G. Altman
  • Publisher :Unknown
  • Release Date :1990-11-22
  • Total pages :624
  • ISBN : 9781000228816
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Summary : 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

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

Exam Prep Flash Cards for Practical Biostatistics: A ...
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 1230987654XX
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Summary :

Measurement in Medicine

Measurement in Medicine
  • Author : Henrica C. W. de Vet,Caroline B. Terwee,Lidwine B. Mokkink,Dirk L. Knol
  • Publisher :Unknown
  • Release Date :2011-08-11
  • Total pages :229
  • ISBN : 9781139497817
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Summary : 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.

Biostatistical Design and Analysis Using R

Biostatistical Design and Analysis Using R
  • Author : Dr Murray Logan
  • Publisher :Unknown
  • Release Date :2011-09-20
  • Total pages :576
  • ISBN : 9781444362473
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Summary : 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.

Statistical Learning for Biomedical Data

Statistical Learning for Biomedical Data
  • Author : James D. Malley,Karen G. Malley,Sinisa Pajevic
  • Publisher :Unknown
  • Release Date :2011-02-24
  • Total pages :229
  • ISBN : 9781139496858
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Summary : 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.

Basic Epidemiological Methods and Biostatistics

Basic Epidemiological Methods and Biostatistics
  • Author : Randy M. Page,Galen E. Cole,Thomas C. Timmreck
  • Publisher :Unknown
  • Release Date :1995
  • Total pages :433
  • ISBN : 0867208694
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Summary : 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.

Biostatistics Using JMP

Biostatistics Using JMP
  • Author : Trevor Bihl
  • Publisher :Unknown
  • Release Date :2017-10-03
  • Total pages :356
  • ISBN : 9781635262414
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Summary : 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.

Applied Mixed Model Analysis

Applied Mixed Model Analysis
  • Author : Jos W. R. Twisk
  • Publisher :Unknown
  • Release Date :2019-04-30
  • Total pages :300
  • ISBN : 9781108480574
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Summary : Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.

Proceedings of the Workshop on Cardiovascular Epidemiology and Biostatistics Training Programs

Proceedings of the Workshop on Cardiovascular Epidemiology and Biostatistics Training Programs
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1976
  • Total pages :229
  • ISBN : CHI:40569200
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Summary :

Easy Interpretation of Biostatistics E-Book

Easy Interpretation of Biostatistics E-Book
  • Author : Gail F. Dawson
  • Publisher :Unknown
  • Release Date :2012-04-20
  • Total pages :208
  • ISBN : 9781455742356
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Summary : 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.

Medical Biostatistics, Fourth Edition

Medical Biostatistics, Fourth Edition
  • Author : Abhaya Indrayan,Rajeev Kumar Malhotra
  • Publisher :Unknown
  • Release Date :2017-11-27
  • Total pages :720
  • ISBN : 9781351585552
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Summary : Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.

Fundamentals Of Biostatistics: Practical Approach

Fundamentals Of Biostatistics: Practical Approach
  • Author : Naren Kr. Dutta
  • Publisher :Unknown
  • Release Date :2002
  • Total pages :472
  • ISBN : 8173915075
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Summary :

Applied Multilevel Analysis

Applied Multilevel Analysis
  • Author : Jos W. R. Twisk
  • Publisher :Unknown
  • Release Date :2006-04-06
  • Total pages :184
  • ISBN : 9780521849753
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Summary : This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.

Biostatistics for Public Health

Biostatistics for Public Health
  • Author : Lisa M. Sullivan
  • Publisher :Unknown
  • Release Date :2020-03
  • Total pages :100
  • ISBN : 9781284194265
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Summary : "This short format primer will provide foundational coverage of biostatistical concepts and applications for health professionals. It will use examples that are relevant for clinical and health professionals specifically"--