Improved Tools For Large Scale Hypothesis Testing
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Author | : Bradley Efron |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2012-11-29 |
Genre | : Mathematics |
ISBN | : 1139492136 |
We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.
Author | : Rand R. Wilcox |
Publisher | : Academic Press |
Total Pages | : 713 |
Release | : 2012-01-12 |
Genre | : Mathematics |
ISBN | : 0123869838 |
"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
Author | : Marielle Simon |
Publisher | : Routledge |
Total Pages | : 318 |
Release | : 2013 |
Genre | : Education |
ISBN | : 0415894565 |
This book focuses on central issues that are key components of successful planning, development and implementation of LSAs. The book's main distinction is its focus on practice- based, cutting-edge research. This is achieved by having chapters co-authored by world-class researchers in collaboration with measurement practitioners.
Author | : Daniel Navarro |
Publisher | : Lulu.com |
Total Pages | : 617 |
Release | : 2013-01-13 |
Genre | : Computers |
ISBN | : 1326189727 |
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author | : Kim-Anh Do |
Publisher | : Cambridge University Press |
Total Pages | : 437 |
Release | : 2006-07-24 |
Genre | : Mathematics |
ISBN | : 052186092X |
Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation.
Author | : Ron Kohavi |
Publisher | : Cambridge University Press |
Total Pages | : 291 |
Release | : 2020-04-02 |
Genre | : Computers |
ISBN | : 1108590098 |
Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to • Use the scientific method to evaluate hypotheses using controlled experiments • Define key metrics and ideally an Overall Evaluation Criterion • Test for trustworthiness of the results and alert experimenters to violated assumptions • Build a scalable platform that lowers the marginal cost of experiments close to zero • Avoid pitfalls like carryover effects and Twyman's law • Understand how statistical issues play out in practice.
Author | : Russell La Fayette Cecil |
Publisher | : Elsevier Health Sciences |
Total Pages | : 2848 |
Release | : 2012-01-01 |
Genre | : Health & Fitness |
ISBN | : 1437716040 |
Since 1927, Goldman-Cecil Medicine has been the world's most influential internal medicine resource. In the ground-breaking 25th edition, your original purchase ensures you will be up-to-date without the need for a subscription. Through the new, more powerful Expert Consult eBook platform, this "living text" provides continuous updates that will integrate the latest research, guidelines, and treatments into each chapter, ensuring that the content is as current as the day this edition was first published. Goldman-Cecil Medicine offers definitive, unbiased guidance on the evaluation and management of every medical condition, presented by a veritable "Who's Who" of modern medicine. A practical, straightforward style; templated organization; evidence-based references; and robust interactive content combine to make this dynamic resource quite simply the fastest and best place to find all of the authoritative, state-of-the-art clinical answers you need. "The content is superb, authoritative and not surprisingly very up to date." Reviewed by: Dr Harry Brown, on behalf of Glycosmedia Date: July 2015 Expert Consult eBook version included with print purchase: Access continuous updates from Editor Lee Goldman, MD, who thoroughly reviews internal medicine and specialty journals, updating online content to reflect the latest guidelines and translating that evidence into treatment. Interactive Q&A section features over 1,500 board-style questions and answers to aid in preparing for certification or recertification exams. Outstanding supplementary tools include figures, tables, videos, heart and lung sounds, treatment and management algorithms, fully integrated references, and thousands of illustrations and full-color photos. Search all of the text, figures, supplementary material, and references from the book on a variety of devices and at no additional cost - Expert Consult access is included with this title! Practical, bulleted, highly templated text with easy-to-use features including flow charts and treatment boxes. New chapters on global health, cancer biology and genetics, and the human microbiome in health and disease keep you on the cutting edge of medicine. Today's most current evidence-based medicine guidelines help you form a definitive diagnosis and create the best treatment plans possible. Focused coverage of the latest developments in biology includes the specifics of current diagnosis, therapy, and medication doses. The reference of choice for every stage of your career! Goldman-Cecil Medicine is an ideal learning tool for residents, physicians, and students as well as a valuable go-to resource for experienced healthcare professionals. Cecil - the best internal medicine resource available since 1927 - far exceeds the competition in versatility, ease-of-use and up-to-datedness.
Author | : Andrew Parsa |
Publisher | : Elsevier Health Sciences |
Total Pages | : 201 |
Release | : 2015-06-03 |
Genre | : Medical |
ISBN | : 0323370020 |
The evidence-based medicine movement is gaining influence in many medical specialties. This issue will cover topics from patient safety in neurosurgery and medical errors, to measuring outcomes for neurosurgical procedures.
Author | : Gregory J. Privitera |
Publisher | : SAGE |
Total Pages | : 737 |
Release | : 2011-09-07 |
Genre | : Mathematics |
ISBN | : 141296931X |
Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter. Gregory J. Privitera takes a user-friendly approach while balancing statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation.
Author | : Management Association, Information Resources |
Publisher | : IGI Global |
Total Pages | : 2523 |
Release | : 2016-04-20 |
Genre | : Computers |
ISBN | : 1466698411 |
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.