The Power of Statistical Thinking
Author: Mary G. Leitnaker
Publisher: Prentice Hall
Published: 1996
Total Pages: 552
ISBN-13:
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Regression Modeling Strategies
Author: Frank E. Harrell
Publisher: Springer Science & Business Media
Published: 2013-03-09
Total Pages: 583
ISBN-13: 147573462X
DOWNLOAD EBOOKMany 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".
Statistical Thinking in Clinical Trials
Author: Michael A. Proschan
Publisher: CRC Press
Published: 2021-11-24
Total Pages: 276
ISBN-13: 1351673106
DOWNLOAD EBOOKStatistical 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.
Statistical Thinking in Sports
Author: Jim Albert
Publisher: CRC Press
Published: 2007-07-12
Total Pages: 312
ISBN-13: 1584888695
DOWNLOAD EBOOKSince 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 Power Analysis for the Behavioral Sciences
Author: Jacob Cohen
Publisher: Routledge
Published: 2013-05-13
Total Pages: 625
ISBN-13: 1134742770
DOWNLOAD EBOOKStatistical 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
Author: Richard Kay
Publisher: John Wiley & Sons
Published: 2014-10-23
Total Pages: 370
ISBN-13: 1118470974
DOWNLOAD EBOOKStatistical Thinking for Non-Statisticians in Drug Regulation, Second Edition, is a need-to-know guide to understanding statistical methodology, statistical data and results within drug development and clinical trials. It provides non-statisticians working in the pharmaceutical and medical device industries with an accessible introduction to the knowledge they need when working with statistical information and communicating with statisticians. It covers the statistical aspects of design, conduct, analysis and presentation of data from clinical trials in drug regulation and improves the ability to read, understand and critically appraise statistical methodology in papers and reports. As such, it is directly concerned with the day-to-day practice and the regulatory requirements of drug development and clinical trials. Fully conversant with current regulatory requirements, this second edition includes five new chapters covering Bayesian statistics, adaptive designs, observational studies, methods for safety analysis and monitoring and statistics for diagnosis. Authored by a respected lecturer and consultant to the pharmaceutical industry, Statistical Thinking for Non-Statisticians in Drug Regulation is an ideal guide for physicians, clinical research scientists, managers and associates, data managers, medical writers, regulatory personnel and for all non-statisticians working and learning within the pharmaceutical industry.
Statistics in the 21st Century
Author: Adrian E. Raftery
Publisher: CRC Press
Published: 2001-07-09
Total Pages: 571
ISBN-13: 1420035398
DOWNLOAD EBOOKThis 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.
Introduction to Statistical Thinking
Author: Benjamin Yakir
Publisher:
Published: 2014-09-19
Total Pages: 324
ISBN-13: 9781502424662
DOWNLOAD EBOOKIntroduction to Statistical ThinkingBy Benjamin Yakir
The Essential Guide to Effect Sizes
Author: Paul D. Ellis
Publisher: Cambridge University Press
Published: 2010-07
Total Pages: 193
ISBN-13: 0521142466
DOWNLOAD EBOOKA jargon-free introduction for students and researchers looking to interpret the practical significance of their results.
The Data Detective
Author: Tim Harford
Publisher: Penguin
Published: 2021-02-02
Total Pages: 336
ISBN-13: 0593084675
DOWNLOAD EBOOKFrom “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.
