Statistical Modeling For Biomedical Researchers
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Statistical Modeling For Biomedical Researchers
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Author :
language : en
Publisher:
Release Date : 2009
Statistical Modeling For Biomedical Researchers written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Medicine categories.
New edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.
Statistical Modeling For Biomedical Researchers
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Author : William D. Dupont
language : en
Publisher: Cambridge University Press
Release Date : 2002-11-28
Statistical Modeling For Biomedical Researchers written by William D. Dupont and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-11-28 with Medical categories.
This text enables biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research, and uses a statistical software package (Stata® ) to avoid mathematics beyond the high school level. Intended for people who have had an introductory course in biostatistics, the volume emphasizes the assumptions underlying each method, using exploratory techniques to determine the most appropriate method. It presents results in a way that will be readily understood by clinical colleagues. Numerous real examples from medical literature and graphical methods are used to illustrate these techniques.
Statistical Modeling For Biomedical Researchers
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Author : William D. Dupont
language : en
Publisher: Cambridge University Press
Release Date : 2009-02-12
Statistical Modeling For Biomedical Researchers written by William D. Dupont and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-12 with Medical categories.
A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.
Statistical Modeling For Biomedical Researchers
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Author : William D. Dupont
language : en
Publisher: Cambridge University Press
Release Date : 2009-02-12
Statistical Modeling For Biomedical Researchers written by William D. Dupont and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-12 with Medical categories.
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/.
Statistical Modeling In Biomedical Research
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Author : Yichuan Zhao
language : en
Publisher: Springer Nature
Release Date : 2020-03-19
Statistical Modeling In Biomedical Research written by Yichuan Zhao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Medical categories.
This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.
Statistical Modeling In Biomedical Research
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Author :
language : en
Publisher:
Release Date : 2020
Statistical Modeling In Biomedical Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Biometry categories.
This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.
Essential Statistical Methods For Medical Statistics
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Author : J. Philip Miller
language : en
Publisher: Elsevier
Release Date : 2010-11-08
Essential Statistical Methods For Medical Statistics written by J. Philip Miller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-08 with Mathematics categories.
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
Statistical Methods For The Analysis Of Biomedical Data
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Author : Robert F. Woolson
language : de
Publisher: John Wiley & Sons
Release Date : 2002-05-23
Statistical Methods For The Analysis Of Biomedical Data written by Robert F. Woolson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-23 with Medical categories.
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.
Statistics In Medicine
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Author : Robert H. Riffenburgh
language : en
Publisher: Academic Press
Release Date : 2020-07-03
Statistics In Medicine written by Robert H. Riffenburgh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-03 with Science categories.
Statistics in Medicine, Fourth Edition, helps medical and biomedical investigators design and answer questions about analyzing and interpreting data and predicting the sample size required to achieve useful results. It makes medical statistics easy for the non-biostatistician by outlining common methods used in 90% of medical research. The text covers how to plan studies from conception to publication, what to do with data, and follows with step-by-step instructions for biostatistical methods from the simplest levels, to more sophisticated methods now used in medical articles. Examples from almost every medical specialty, and from dentistry, nursing, pharmacy and health care management are provided. This book does not require background knowledge of statistics or mathematics beyond high school algebra and provides abundant clinical examples and exercises to reinforce concepts. It is a valuable source for biomedical researchers, healthcare providers and anyone who conducts research or quality improvement projects. - Expands and revises important topics, such as basic concepts behind descriptive statistics and testing, descriptive statistics in three dimensions, the relationship between statistical testing and confidence intervals, and more - Presents an easy-to-follow format with medical examples, step-by-step methods and check-yourself exercises - Explains statistics for users with little statistical and mathematical background - Encompasses all research development stages, from conceiving a study, planning it in detail, carrying out the methods, putting obtained data in analyzable form, analyzing and interpreting the results, and publishing the study
Using Animal Models In Biomedical Research A Primer For The Investigator
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Author : Pierce K H Chow
language : en
Publisher: World Scientific
Release Date : 2008-01-02
Using Animal Models In Biomedical Research A Primer For The Investigator written by Pierce K H Chow and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-02 with Medical categories.
Animal models play crucial roles in the continuum of experimental activities that make up biomedical research. Such in vivo modes are especially important in proof-of-principle experiments and in establishing the preclinical safety and efficacy data required for progressing to human clinical trials. A practical understanding of the choice, care and use of animal models is thus expected and required of all biomedical researchers. However, while both legislations and the practice of laboratory animal science have made great advances in the last decade and have impacted significantly on the use of animal models, this corpus of knowledge is not readily available in formats easily digestible to the average biomedical researcher. This book fills this gap in knowledge and provides material not easily sourced by the average biomedical researcher, such as current information on bioimaging, occupational health and biosafety, animal protocol design and histological-pathological support.