Statistical Testing Strategies In The Health Sciences

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Statistical Testing Strategies in the Health Sciences

Albert Vexler,Alan D. Hutson,Xiwei Chen
Statistical Testing Strategies in the Health Sciences Book PDF

Author : Albert Vexler,Alan D. Hutson,Xiwei Chen
Publisher : CRC Press
Page : 703 pages
File Size : 41,5 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781498730846

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Statistical Testing Strategies in the Health Sciences by Albert Vexler,Alan D. Hutson,Xiwei Chen Pdf

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.

Advances in Statistical Methods for the Health Sciences

Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs
Advances in Statistical Methods for the Health Sciences Book PDF

Author : Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs
Publisher : Springer Science & Business Media
Page : 540 pages
File Size : 55,8 Mb
Release : 2007-08-08
Category : Mathematics
ISBN : 9780817645427

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Advances in Statistical Methods for the Health Sciences by Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs Pdf

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Statistical Methods for Health Sciences

Mohamed M. Shoukri,Victoria L. Edge
Statistical Methods for Health Sciences Book PDF

Author : Mohamed M. Shoukri,Victoria L. Edge
Publisher : CRC Press
Page : 328 pages
File Size : 53,6 Mb
Release : 1996
Category : Mathematics
ISBN : UOM:39015037314955

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Statistical Methods for Health Sciences by Mohamed M. Shoukri,Victoria L. Edge Pdf

A substantial portion of epidemiologic studies, particularly in community medicine, veterinary herd health, field trials and repeated measures from clinical investigations, produce data that are clustered and quite heterogeneous. Such clustering will inevitably produce highly correlated observations; thus, standard statistical techniques in non-specialized biostatistics textbooks are no longer appropriate in the analysis of such data. For this reason it was our mandate to introduce to our audience the recent advances in statistical modeling of clustered or correlated data that exhibit extra variation or heterogeneity. - from the Preface.

Statistical Methods in the Biological and Health Sciences

Janet Susan Milton,Janice O. Tsokos
Statistical Methods in the Biological and Health Sciences Book PDF

Author : Janet Susan Milton,Janice O. Tsokos
Publisher : McGraw-Hill Companies
Page : 520 pages
File Size : 50,9 Mb
Release : 1983
Category : Mathematics
ISBN : UOM:39015009866529

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Statistical Methods in the Biological and Health Sciences by Janet Susan Milton,Janice O. Tsokos Pdf

Milton's Statistical Methods in the Biological and Health Sciences offers comprehensive coverage for the applied statistics course for health and bio-related majors. This course focuses primarily on developing basic statistical techniques and relevant applications within a framework that addresses the needs of these specific audiences.

Statistics for the Health Sciences

Christine Dancey,John Reidy,Richard Rowe
Statistics for the Health Sciences Book PDF

Author : Christine Dancey,John Reidy,Richard Rowe
Publisher : SAGE
Page : 584 pages
File Size : 45,7 Mb
Release : 2012-03-19
Category : Social Science
ISBN : 9781446291238

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Statistics for the Health Sciences by Christine Dancey,John Reidy,Richard Rowe Pdf

Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.

Modern Statistical Methods for Health Research

Yichuan Zhao,(Din) Ding-Geng Chen
Modern Statistical Methods for Health Research Book PDF

Author : Yichuan Zhao,(Din) Ding-Geng Chen
Publisher : Springer Nature
Page : 506 pages
File Size : 52,9 Mb
Release : 2021-10-14
Category : Medical
ISBN : 9783030724375

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Modern Statistical Methods for Health Research by Yichuan Zhao,(Din) Ding-Geng Chen Pdf

This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.

Statistics in the Health Sciences

Albert Vexler,Alan Hutson
Statistics in the Health Sciences Book PDF

Author : Albert Vexler,Alan Hutson
Publisher : CRC Press
Page : 416 pages
File Size : 42,9 Mb
Release : 2018-01-19
Category : Medical
ISBN : 9781315293769

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Statistics in the Health Sciences by Albert Vexler,Alan Hutson Pdf

"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS."— Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA "It is always a pleasure to come across a new book that covers nearly all facets of a branch of science one thought was so broad, so diverse, and so dynamic that no single book could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the book’s purview—fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; central limit theorems; basics of martingale theory; Monte Carlo methods; sequential analysis; sequential change-point detection—are all covered with inspiring clarity and precision. The authors are also very thorough and avail themselves of the most recent scholarship. They provide a detailed account of the state of the art, and bring together results that were previously scattered across disparate disciplines. This makes the book more than just a textbook: it is a panoramic companion to the field of Biostatistics. The book is self-contained, and the concise but careful exposition of material makes it accessible to a wide audience. This is appealing to graduate students interested in getting into the field, and also to professors looking to design a course on the subject." — Aleksey S. Polunchenko, Department of Mathematical Sciences, State University of New York at Binghamton This book should be appropriate for use both as a text and as a reference. This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures. The book presents biostatistical results that are novel to the current set of books on the market and results that are even new with respect to the modern scientific literature. Several of these results can be found only in this book.

Statistics for the Health Sciences

Christine Dancey,John Reidy,Richard Rowe
Statistics for the Health Sciences Book PDF

Author : Christine Dancey,John Reidy,Richard Rowe
Publisher : SAGE
Page : 587 pages
File Size : 40,9 Mb
Release : 2012-03-19
Category : Social Science
ISBN : 9781446258736

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Statistics for the Health Sciences by Christine Dancey,John Reidy,Richard Rowe Pdf

Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.

Statistical Methods in Healthcare

Frederick W. Faltin,Ron S. Kenett,Fabrizio Ruggeri
Statistical Methods in Healthcare Book PDF

Author : Frederick W. Faltin,Ron S. Kenett,Fabrizio Ruggeri
Publisher : John Wiley & Sons
Page : 533 pages
File Size : 44,6 Mb
Release : 2012-07-24
Category : Medical
ISBN : 9781119942047

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Statistical Methods in Healthcare by Frederick W. Faltin,Ron S. Kenett,Fabrizio Ruggeri Pdf

Statistical Methods in Healthcare In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development. Offers a broad coverage of standards and established methods through leading edge techniques. Uses an integrated case study based approach, with focus on applications. Looks at the use of analytical and monitoring schemes to evaluate therapeutic performance. Features the application of modern quality management systems to clinical practice, and to pharmaceutical development and production processes. Addresses the use of modern statistical methods such as Adaptive Design, Seamless Design, Data Mining, Bayesian networks and Bootstrapping that can be applied to support the challenging new vision. Practitioners in healthcare-related professions, ranging from clinical trials to care delivery to medical device design, as well as statistical researchers in the field, will benefit from this book.

Introductory Biostatistics for the Health Sciences

Michael R. Chernick,Robert H. Friis
Introductory Biostatistics for the Health Sciences Book PDF

Author : Michael R. Chernick,Robert H. Friis
Publisher : John Wiley & Sons
Page : 426 pages
File Size : 46,6 Mb
Release : 2003-06-24
Category : Mathematics
ISBN : 9780471458654

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Introductory Biostatistics for the Health Sciences by Michael R. Chernick,Robert H. Friis Pdf

"Introductory Biostatistics for the Health Sciences" ist eine fundierte Einführung in die Biostatistik und ihre Anwendungsgebiete. Der Band richtet sich vorwiegend an Mediziner und Statistiker. Theorie und Praxis stehen im ausgewogenen Verhältnis, d.h. praktische Anwendungen werden, wo nötig, durch den theoretischen Hintergrund ergänzt. Der Schwerpunkt liegt eindeutig auf der praktischen Anwendung. Der Band geht auch auf jüngste Fortschritte bei der Bootstrap-, Outlier- und Meta-Analyse ein, Themen, die in der Regel in Konkurrenzwerken, nicht behandelt werden. Mit einer Fülle von Übungsaufgaben. Auch Statistiksoftware wird ausführlich besprochen.

Statistics for the Health Sciences

Professor Christine Dancey,Dr John Reidy,Dr Richard Rowe
Statistics for the Health Sciences Book PDF

Author : Professor Christine Dancey,Dr John Reidy,Dr Richard Rowe
Publisher : Sage Publications (CA)
Page : 584 pages
File Size : 47,8 Mb
Release : 2012-04-01
Category : Medical
ISBN : 1446252736

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Statistics for the Health Sciences by Professor Christine Dancey,Dr John Reidy,Dr Richard Rowe Pdf

This is a highly accessible textbook on understanding statistics for the health sciences, both conceptually and via SPSS. The authors give clear explanations of the concepts underlying statistical analyzes and descriptions of how these analyzes are applied in health sciences research without complex statistical formulae. The book takes students from the basics of research design, hypothesis testing, and descriptive statistical techniques through to more advanced inferential statistical tests that health sciences students are likely to encounter. Exercises and tips throughout the book allow students to practice using SPSS.

Applied Missing Data Analysis in the Health Sciences

Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding
Applied Missing Data Analysis in the Health Sciences Book PDF

Author : Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 45,8 Mb
Release : 2014-06-30
Category : Medical
ISBN : 9780470523810

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Applied Missing Data Analysis in the Health Sciences by Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding Pdf

A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various modern statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference methods and the field of diagnostic medicine. Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into traditional techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book’s subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences features: Multiple data sets that can be replicated using the SAS®, Stata®, R, and WinBUGS software packages Numerous examples of case studies in the field of biostatistics to illustrate real-world scenarios and demonstrate applications of discussed methodologies Detailed appendices to guide readers through the use of the presented data in various software environments Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.

Medical Statistics

Michael J. Campbell,David Machin,Stephen J. Walters
Medical Statistics Book PDF

Author : Michael J. Campbell,David Machin,Stephen J. Walters
Publisher : John Wiley & Sons
Page : 347 pages
File Size : 55,9 Mb
Release : 2010-10-26
Category : Medical
ISBN : 0470976632

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Medical Statistics by Michael J. Campbell,David Machin,Stephen J. Walters Pdf

Provides students and practitioners with a clear, conciseintroduction to the statistics they will come across in theirregular reading of clinical papers. Written by three experts with wide teaching and consultingexperience, Medical Statistics: A Textbook for the HealthSciences, Fourth Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretationof the statistics in papers published in medical journals From the reviews of the previous edition: "The book has several excellent features: it is written bystatisticians, is.... well presented, is well referenced.... and isshort." THE LANCET "Many statisticians are concerned at the generally poorstandard of statistics in papers published in medical journals.Perhaps this could be remedied if more research workers would sparea few hours to read through Campbell and Machin's book."BRITISH MEDICAL JOURNAL "... a simple, interesting and insightful introduction tomedical statistics... highlyrecommended." STATISTICAL METHODS IN MEDICALRESEARCH "Campbell and Machin found the golden mean... this book canbe recommended for all students and all medicalresearchers." ISCB NEWSLETTER

Methods and Applications of Statistics in the Life and Health Sciences

Narayanaswamy Balakrishnan
Methods and Applications of Statistics in the Life and Health Sciences Book PDF

Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
Page : 1027 pages
File Size : 44,9 Mb
Release : 2009-12-02
Category : Mathematics
ISBN : 9780470405093

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Methods and Applications of Statistics in the Life and Health Sciences by Narayanaswamy Balakrishnan Pdf

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health. Uniquely combining established literature with cutting-edge research, this book contains classical works and more than twenty-five new articles and completely revised contributions from the acclaimed Encyclopedia of Statistical Sciences, Second Edition. The result is a compilation of more than eighty articles that explores classic methodology and new topics, including: Sequential methods in biomedical research Statistical measures of human quality of life Change-point methods in genetics Sample size determination for clinical trials Mixed-effects regression models for predicting pre-clinical disease Probabilistic and statistical models for conception Statistical methods are explored and applied to population growth, disease detection and treatment, genetic and genomic research, drug development, clinical trials, screening and prevention, and the assessment of rehabilitation, recovery, and quality of life. These topics are explored in contributions written by more than 100 leading academics, researchers, and practitioners who utilize various statistical practices, such as election bias, survival analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its combination of traditional methodology and newly developed research, Methods and Applications of Statistics in the Life and Health Sciences has everything students, academics, and researchers in the life and health sciences need to build and apply their knowledge of statistical methods and applications.

Advances in Statistical Methods for the Health Sciences

Jean-Louis Auget,N Balakrishnan,Mounir Mesbah,Geert Molenberghs
Advances in Statistical Methods for the Health Sciences Book PDF

Author : Jean-Louis Auget,N Balakrishnan,Mounir Mesbah,Geert Molenberghs
Publisher : Birkhäuser
Page : 540 pages
File Size : 44,6 Mb
Release : 2008-11-01
Category : Mathematics
ISBN : 0817670858

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Advances in Statistical Methods for the Health Sciences by Jean-Louis Auget,N Balakrishnan,Mounir Mesbah,Geert Molenberghs Pdf

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.