Analysis of High Dimensional Repeated Measures Designs
Author: Muhammad Rauf Ahmad
Publisher: Cuvillier Verlag
Published: 2008
Total Pages: 115
ISBN-13: 3867277346
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Permutation Tests for Complex Data
Author: Fortunato Pesarin
Publisher: John Wiley & Sons
Published: 2010-02-25
Total Pages: 448
ISBN-13: 9780470689523
DOWNLOAD EBOOKComplex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies. The Authors give a general overview on permutation tests with a focus on recent theoretical advances within univariate and multivariate complex permutation testing problems, this book brings the reader completely up to date with today’s current thinking. Key Features: Examines the most up-to-date methodologies of univariate and multivariate permutation testing. Includes extensive software codes in MATLAB, R and SAS, featuring worked examples, and uses real case studies from both experimental and observational studies. Includes a standalone free software NPC Test Release 10 with a graphical interface which allows practitioners from every scientific field to easily implement almost all complex testing procedures included in the book. Presents and discusses solutions to the most important and frequently encountered real problems in multivariate analyses. A supplementary website containing all of the data sets examined in the book along with ready to use software codes. Together with a wide set of application cases, the Authors present a thorough theory of permutation testing both with formal description and proofs, and analysing real case studies. Practitioners and researchers, working in different scientific fields such as engineering, biostatistics, psychology or medicine will benefit from this book.
Large Sample Covariance Matrices and High-Dimensional Data Analysis
Author: Jianfeng Yao
Publisher: Cambridge University Press
Published: 2015-03-26
Total Pages: 0
ISBN-13: 9781107065178
DOWNLOAD EBOOKHigh-dimensional data appear in many fields, and their analysis has become increasingly important in modern statistics. However, it has long been observed that several well-known methods in multivariate analysis become inefficient, or even misleading, when the data dimension p is larger than, say, several tens. A seminal example is the well-known inefficiency of Hotelling's T2-test in such cases. This example shows that classical large sample limits may no longer hold for high-dimensional data; statisticians must seek new limiting theorems in these instances. Thus, the theory of random matrices (RMT) serves as a much-needed and welcome alternative framework. Based on the authors' own research, this book provides a first-hand introduction to new high-dimensional statistical methods derived from RMT. The book begins with a detailed introduction to useful tools from RMT, and then presents a series of high-dimensional problems with solutions provided by RMT methods.
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
Author: Gregory R. Hancock
Publisher: Routledge
Published: 2010-04-26
Total Pages: 449
ISBN-13: 1135172994
DOWNLOAD EBOOKDesigned for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.
Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials
Author: Toshiro Tango
Publisher: CRC Press
Published: 2017-09-14
Total Pages: 268
ISBN-13: 1351648144
DOWNLOAD EBOOKRepeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials. The author introduces a new repeated measures design called S:T design combined with mixed models as a practical and useful framework of parallel group RCT design because of easy handling of missing data and sample size reduction. The book emphasizes practical, rather than theoretical, aspects of statistical analyses and the interpretation of results. It includes chapters in which the author describes some old-fashioned analysis designs that have been in the literature and compares the results with those obtained from the corresponding mixed models. The book will be of interest to biostatisticians, researchers, and graduate students in the medical and health sciences who are involved in clinical trials. Author Website: Data sets and programs used in the book are available at http://www.medstat.jp/downloadrepeatedcrc.html
High-Dimensional Probability
Author: Roman Vershynin
Publisher: Cambridge University Press
Published: 2018-09-27
Total Pages: 299
ISBN-13: 1108415199
DOWNLOAD EBOOKAn integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Longitudinal Data Analysis
Author: Garrett Fitzmaurice
Publisher: CRC Press
Published: 2008-08-11
Total Pages: 633
ISBN-13: 142001157X
DOWNLOAD EBOOKAlthough many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
Issues in Bioengineering and Bioinformatics: 2013 Edition
Author:
Publisher: ScholarlyEditions
Published: 2013-05-01
Total Pages: 1188
ISBN-13: 1490106057
DOWNLOAD EBOOKIssues in Bioengineering and Bioinformatics: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Lifetime Data Analysis. The editors have built Issues in Bioengineering and Bioinformatics: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Lifetime Data Analysis in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Bioengineering and Bioinformatics: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Prevention and Treatment of Sports Injuries
Author: Darius Cobb
Publisher: Scientific e-Resources
Published: 2018-11-20
Total Pages: 380
ISBN-13: 1839473738
DOWNLOAD EBOOKSports injuries are injuries that occur to athletes in major sporting events. In many cases, these types of injuries are due to overuse of a part of the body when participating in a certain activity. For example, runner's knee is a painful condition generally associated with running. Other types of injuries can be caused by a hard contact with something. This can often cause a broken bone or torn ligament or tendon. Injuries are a common occurrence in professional sports and most teams have a staff of athletic trainers and close connections to the medical community. The present book entitled Prevention and Treatment of Sports Injuries focuses on all aspects of sports injuries. The text are arranged in a lucid form and written in simple colloquial English language. The book covers all those areas which go to make the foundations of sports injuries as a process, profession and academic discipline. Hopefully the present book will be useful for the students and teachers of physical education and sports and sports persons.
Principles of Experimental Design for the Life Sciences
Author: Murray R. Selwyn
Publisher: CRC Press
Published: 1996-05-23
Total Pages: 176
ISBN-13: 9780849394614
DOWNLOAD EBOOKLet this down-to-earth book be your guide to the statistical integrity of your work. Without relying on the detailed and complex mathematical explanations found in many other statistical texts, Principles of Experimental Design for the Life Sciences teaches how to design, conduct, and interpret top-notch life science studies. Learn about the planning of biomedical studies, the principles of statistical design, sample size estimation, common designs in biological experiments, sequential clinical trials, high dimensional designs and process optimization, and the correspondence between objectives, design, and analysis. Each of these important topics is presented in an understandable and non-technical manner, free of statistical jargon and formulas. Written by a biostatistical consultant with 25 years of experience, Principles of Experimental Design for the Life Sciences is filled with real-life examples from the author's work that you can quickly and easily apply to your own. These examples illustrate the main concepts of experimental design and cover a broad range of application areas in both clinical and nonclinical research. With this one innovative, helpful book you can improve your understanding of statistics, enhance your confidence in your results, and, at long last, shake off those statistical shackles!
