The Power of Statistical Thinking

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Publisher : Prentice Hall
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.82/5 ( download)

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Book Synopsis The Power of Statistical Thinking by : Mary G. Leitnaker

Download or read book The Power of Statistical Thinking written by Mary G. Leitnaker and published by Prentice Hall. This book was released on 1996 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE

Statistical Thinking in Sports

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Publisher : CRC Press
ISBN 13 : 1584888695
Total Pages : 312 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis Statistical Thinking in Sports by : Jim Albert

Download or read book Statistical Thinking in Sports written by Jim Albert and published by CRC Press. This book was released on 2007-07-12 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and bes

Statistical Thinking in Clinical Trials

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Publisher : CRC Press
ISBN 13 : 1351673106
Total Pages : 276 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Statistical Thinking in Clinical Trials by : Michael A. Proschan

Download or read book Statistical Thinking in Clinical Trials written by Michael A. Proschan and published by CRC Press. This book was released on 2021-11-24 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change. Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ’ principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V’ principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.

Regression Modeling Strategies

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Publisher : Springer Science & Business Media
ISBN 13 : 147573462X
Total Pages : 583 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis Regression Modeling Strategies by : Frank E. Harrell

Download or read book Regression Modeling Strategies written by Frank E. Harrell and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Introduction to Statistical Thinking

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Publisher :
ISBN 13 : 9781502424662
Total Pages : 324 pages
Book Rating : 4.65/5 ( download)

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Book Synopsis Introduction to Statistical Thinking by : Benjamin Yakir

Download or read book Introduction to Statistical Thinking written by Benjamin Yakir and published by . This book was released on 2014-09-19 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical ThinkingBy Benjamin Yakir

Statistical Power Analysis for the Behavioral Sciences

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Publisher : Routledge
ISBN 13 : 1134742770
Total Pages : 625 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Statistical Power Analysis for the Behavioral Sciences by : Jacob Cohen

Download or read book Statistical Power Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-05-13 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Statistical Thinking for Non-Statisticians in Drug Regulation

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Publisher : John Wiley & Sons
ISBN 13 : 1119867401
Total Pages : 436 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Statistical Thinking for Non-Statisticians in Drug Regulation by : Richard Kay

Download or read book Statistical Thinking for Non-Statisticians in Drug Regulation written by Richard Kay and published by John Wiley & Sons. This book was released on 2022-11-29 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: STATISTICAL THINKING FOR NON-STATISTICIANS IN DRUG REGULATION Statistical methods in the pharmaceutical industry are accepted as a key element in the design and analysis of clinical studies. Increasingly, the medical and scientific community are aligning with the regulatory authorities and recognizing that correct statistical methodology is essential as the basis for valid conclusions. In order for those correct and robust methods to be successfully employed there needs to be effective communication across disciplines at all stages of the planning, conducting, analyzing and reporting of clinical studies associated with the development and evaluation of new drugs and devices. Statistical Thinking for Non-Statisticians in Drug Regulation provides a comprehensive in-depth guide to statistical methodology for pharmaceutical industry professionals, including physicians, investigators, medical science liaisons, clinical research scientists, medical writers, regulatory personnel, statistical programmers, senior data managers and those working in pharmacovigilance. The author’s years of experience and up-to-date familiarity with pharmaceutical regulations and statistical practice within the wider clinical community make this an essential guide for the those working in and with the industry. The third edition of Statistical Thinking for Non-Statisticians in Drug Regulation includes: A detailed new chapter on Estimands in line with the 2019 Addendum to ICH E9 Major new sections on topics including Combining Hierarchical Testing and Alpha Adjustment, Biosimilars, Restricted Mean Survival Time, Composite Endpoints and Cumulative Incidence Functions, Adjusting for Cross-Over in Oncology, Inverse Propensity Score Weighting, and Network Meta-Analysis Updated coverage of many existing topics to reflect new and revised guidance from regulatory authorities and author experience Statistical Thinking for Non-Statisticians in Drug Regulation is a valuable guide for pharmaceutical and medical device industry professionals, as well as statisticians joining the pharmaceutical industry and students and teachers of drug development.

Statistics in the 21st Century

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Publisher : CRC Press
ISBN 13 : 1420035398
Total Pages : 571 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Statistics in the 21st Century by : Adrian E. Raftery

Download or read book Statistics in the 21st Century written by Adrian E. Raftery and published by CRC Press. This book was released on 2001-07-09 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.

Statistics and the Media

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Publisher :
ISBN 13 : 9781516525607
Total Pages : 228 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Statistics and the Media by : Anthony Donoghue

Download or read book Statistics and the Media written by Anthony Donoghue and published by . This book was released on 2017-12-27 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding - the meaning behind mathematical calculations rather than the calculations themselves.

The Essential Guide to Effect Sizes

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Publisher : Cambridge University Press
ISBN 13 : 0521142466
Total Pages : 193 pages
Book Rating : 4.65/5 ( download)

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Book Synopsis The Essential Guide to Effect Sizes by : Paul D. Ellis

Download or read book The Essential Guide to Effect Sizes written by Paul D. Ellis and published by Cambridge University Press. This book was released on 2010-07 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jargon-free introduction for students and researchers looking to interpret the practical significance of their results.