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Author : Eiki Satake
Publisher : Plural Publishing
Page : 593 pages
File Size : 49,9 Mb
Release : 2014-08-01
Category : Medical
ISBN : 9781597566575
Author : Thomas D. Cook,David L. DeMets
Publisher : CRC Press
Page : 452 pages
File Size : 50,8 Mb
Release : 2007-11-19
Category : Mathematics
ISBN : 9781420009965
Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors' collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various stati
Author : John Aitchison,Jim W. Kay,Ian J. Lauder
Publisher : CRC Press
Page : 360 pages
File Size : 51,6 Mb
Release : 2004-10-28
Category : Mathematics
ISBN : 9780203497418
Statistical Concepts and Applications in Clinical Medicine presents a unique, problem-oriented approach to using statistical methods in clinical medical practice through each stage of the clinical process, including observation, diagnosis, and treatment. The authors present each consultative problem in its original form, then describe the process o
Author : Mohamed M. Shoukri,Victoria L. Edge
Publisher : CRC Press
Page : 328 pages
File Size : 46,9 Mb
Release : 1996
Category : Mathematics
ISBN : UOM:39015037314955
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.
Author : J. Philip Miller
Publisher : Elsevier
Page : 368 pages
File Size : 50,6 Mb
Release : 2010-11-08
Category : Mathematics
ISBN : 0444537384
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
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
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.
Author : Bailar/Mostelle
Publisher : CRC Press
Page : 478 pages
File Size : 53,8 Mb
Release : 2019-05-20
Category : Mathematics
ISBN : 9781482255621
This work explains the purpose of statistical methods in medical studies and analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in "The New England Journal of Medicine". It clarifies fundamental concepts of statistical design and analysis, and facilitates the understanding of research results.
Author : Lauren K. Nelson,Jaimie L. Gilbert
Publisher : Plural Publishing
Page : 294 pages
File Size : 42,7 Mb
Release : 2020-08-26
Category : Medical
ISBN : 9781635502114
Research in Communication Sciences and Disorders: Methods for Systematic Inquiry, Fourth Edition is a comprehensive yet comprehendible text meant for instructors and students of research methods in the field of communication sciences and disorders. This forward-thinking book reflects the movement toward evidence-based practice in speech-language pathology and audiology. The authors ensure that the concepts associated with evidence-based practice are integrated throughout the chapters. Rather than treating empirical research and searching for clinical evidence as separate topics, this text presents both as different applications of a process of scientific inquiry. The order of the chapters reflects the steps a researcher or clinician might complete when conducting an investigation. Also included are features that help students be more active in learning the material. Each chapter has a set of review questions or case scenarios that can be used as homework, as probe questions in class, or as a basis for group activities. In addition, the authors provide lists of supplemental readings from the research literature in the field. New to the Fourth Edition: * New author: Jaimie L. Gilbert for an enhanced audiology perspective * New chapter: Writing a Literature Review * Reorganized for better flow of information * Various new and updated references to reflect the current state of research * Additional illustrations and tables * Expanded material on critical appraisal Disclaimer: Please note that ancillary content (such as documents, audio, and video, etc.) may not be included as published in the original print version of this book.
Author : Stephen J. Walters,Michael J. Campbell,David Machin
Publisher : John Wiley & Sons
Page : 454 pages
File Size : 47,9 Mb
Release : 2021-02-01
Category : Medical
ISBN : 9781119423645
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.
Author : P. Nagarajan,Ramachandra Gudde,Ramesh Srinivasan
Publisher : Springer Nature
Page : 797 pages
File Size : 46,5 Mb
Release : 2021-07-23
Category : Science
ISBN : 9789811609879
This book comprehensively reviews the anatomy, physiology, genetics and pathology of laboratory animals as well as the principles and practices of using laboratory animals for biomedical research.It covers the design of buildings used for laboratory animals, quality control of laboratory animals, and toxicology, and discusses various animal models used for human diseases. It also highlights aspects, such as handling and restraint and administration of drugs, as well as breeding and feeding of laboratory animals, and provides guidelines for developing meaningful experiments using laboratory animals.Further, the book discusses various alternatives to animal experiments for drug and chemical testing, including their advantages over the current approaches. Lastly, it examines the potential effect of harmful pathogens on the physiology of laboratory animals and discusses the state of art in in vivo imaging techniques.The book is a useful resource for research scientists, laboratory animal veterinarians, and students of laboratory animal medicine.
Author : Robert H. Riffenburgh,Daniel L. Gillen
Publisher : Academic Press
Page : 823 pages
File Size : 53,6 Mb
Release : 2020-07-03
Category : Science
ISBN : 9780128153291
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
Author : Lu Ying,Fang Ji-qian,Tian Lu
Publisher : World Scientific
Page : 1472 pages
File Size : 41,6 Mb
Release : 2015-06-29
Category : Medical
ISBN : 9789814583329
The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.
Author : Frederick W. Faltin,Ron S. Kenett,Fabrizio Ruggeri
Publisher : John Wiley & Sons
Page : 533 pages
File Size : 44,7 Mb
Release : 2012-07-24
Category : Medical
ISBN : 9781119942047
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.
Author : Albert Vexler,Alan Hutson
Publisher : CRC Press
Page : 298 pages
File Size : 52,5 Mb
Release : 2018-01-19
Category : Mathematics
ISBN : 9781315293752
"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.
Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
Page : 1027 pages
File Size : 45,6 Mb
Release : 2009-12-02
Category : Mathematics
ISBN : 9780470405093
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.