Biomedical Statistics

Biomedical Statistics PDF Author: Shakti Kumar Yadav
Publisher: Springer Nature
ISBN: 9813292946
Category : Science
Languages : en
Pages : 292

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Book Description
This book is written in a very easy-to-follow format, and explains the key concepts of biomedical statistics in a lucid yet straightforward manner. It explains how mathematical and statistical tools can be used to find answers to common research questions. In addition, the main text is supplemented by a wealth of solved exercises and illustrative examples to aid in comprehension. Given its content, the book offers an invaluable quick reference guide for graduating students and can be very helpful in their examination process. At the same time, it represents a handy guide for medical and paramedical teachers, post-graduate medical students, research personnel, biomedical scientists and epidemiologists.

Biomedical Statistics

Biomedical Statistics PDF Author: Shakti Kumar Yadav
Publisher: Springer Nature
ISBN: 9813292946
Category : Science
Languages : en
Pages : 292

Get Book

Book Description
This book is written in a very easy-to-follow format, and explains the key concepts of biomedical statistics in a lucid yet straightforward manner. It explains how mathematical and statistical tools can be used to find answers to common research questions. In addition, the main text is supplemented by a wealth of solved exercises and illustrative examples to aid in comprehension. Given its content, the book offers an invaluable quick reference guide for graduating students and can be very helpful in their examination process. At the same time, it represents a handy guide for medical and paramedical teachers, post-graduate medical students, research personnel, biomedical scientists and epidemiologists.

Oxford Handbook of Medical Statistics

Oxford Handbook of Medical Statistics PDF Author: Janet Peacock
Publisher: Oxford University Press
ISBN: 0199551286
Category : Medical
Languages : en
Pages : 540

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Book Description
The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Biostatistics for Medical and Biomedical Practitioners

Biostatistics for Medical and Biomedical Practitioners PDF Author: Julien I. E. Hoffman
Publisher: Academic Press
ISBN: 0128026073
Category : Medical
Languages : en
Pages : 770

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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

Statistics for Biomedical Engineers and Scientists

Statistics for Biomedical Engineers and Scientists PDF Author: Andrew P. King
Publisher: Academic Press
ISBN: 9780081029398
Category : Mathematics
Languages : en
Pages : 0

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Book Description
Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are provided, making this an ideal resource for students in biomedical engineering and the biomedical sciences who are in a course on basic statistics.

Essentials of Medical Statistics

Essentials of Medical Statistics PDF Author: Betty Kirkwood
Publisher: Wiley-Blackwell
ISBN: 9780632010523
Category : Medical
Languages : en
Pages : 246

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Book Description
A concise, straightforward introduction to medical statistics, this book covers all the topics which a medical student or research worker is likely to encounter in routine work. It can be used for self-teaching, as a reference text, and as a useful companion to basic courses in medical statistics. The book consists of twenty short chapters, each including worked examples, the chapter order reflecting a logical progression of practical concepts rather than a formal mathematical development.

Statistical Modeling for Biomedical Researchers

Statistical Modeling for Biomedical Researchers PDF Author: William D. Dupont
Publisher: Cambridge University Press
ISBN: 0521849527
Category : Medical
Languages : en
Pages : 543

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Book Description
A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

Medical Statistics

Medical Statistics PDF Author: Stephen J. Walters
Publisher: John Wiley & Sons
ISBN: 1119423643
Category : Medical
Languages : en
Pages : 454

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Book Description
The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book. Yet it retains its central philosophy to explain medical statistics with as little technical detail as possible, making it accessible to a wide audience. Helpful multi-choice exercises are included at the end of each chapter, with answers provided at the end of the book. Each analysis technique is carefully explained and the mathematics kept to minimum. Written in a style suitable for statisticians and clinicians alike, this edition features many real and original examples, taken from the authors' combined many years' experience of designing and analysing clinical trials and teaching statistics. Students of the health sciences, such as medicine, nursing, dentistry, physiotherapy, occupational therapy, and radiography should find the book useful, with examples relevant to their disciplines. The aim of training courses in medical statistics pertinent to these areas is not to turn the students into medical statisticians but rather to help them interpret the published scientific literature and appreciate how to design studies and analyse data arising from their own projects. However, the reader who is about to design their own study and collect, analyse and report on their own data will benefit from a clearly written book on the subject which provides practical guidance to such issues. The practical guidance provided by this book will be of use to professionals working in and/or managing clinical trials, in academic, public health, government and industry settings, particularly medical statisticians, clinicians, trial co-ordinators. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations.

Statistical Methods for the Analysis of Biomedical Data

Statistical Methods for the Analysis of Biomedical Data PDF Author: Robert F. Woolson
Publisher: John Wiley & Sons
ISBN: 111803130X
Category : Medical
Languages : en
Pages : 714

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Book Description
Dieser Band behandelt eine Reihe statistischer Themen, die bei der Analyse biologischer und medizinischer Daten allgemein Anwendung finden. Diese 2. Auflage wurde komplett überarbeitet, aktualisiert und erweitert. Einige Kapitel sind neu hinzugekommen, u.a. zur multiplen linearen Regression in der biomedizinischen Forschung. Der Stoff ist so gegliedert, dass der Leser den Text unabhängig von der jeweiligen statistischen Methode leicht nach Problemstellungen durchsuchen kann. Mit zahlreichen durchgearbeiteten Beispielen, die detaillierte Lösungsangaben zu Problemen aus der Praxis liefern.

Essential Statistical Methods for Medical Statistics

Essential Statistical Methods for Medical Statistics PDF Author: J. Philip Miller
Publisher: Elsevier
ISBN: 9780444537386
Category : Mathematics
Languages : en
Pages : 368

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Book Description
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

Statistics PDF Author: Byron W. Brown
Publisher: John Wiley & Sons
ISBN: 9780471112402
Category : Mathematics
Languages : en
Pages : 484

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Book Description
Elementary rules of probability; Populations, samples, and the distribution of the sample mean; Analysis of matched pairs using sample means; Analysis of the two-sample location problem using sample means; Surveys and experiments in medical research; Statistical inference for dichotomous variables; Comparing two success probabilities; Chi-squared tests; Analysis of k-sample problems; Linear regression and correlation; Analysis of matched pairs using ranks; Analysis of the two-sample location problem using ranks; Methods for censored data.