The Work Of Raymond J Carroll PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Work Of Raymond J Carroll PDF full book. Access full book title The Work Of Raymond J Carroll.

The Work of Raymond J. Carroll

The Work of Raymond J. Carroll
Author: Marie Davidian
Publisher: Springer
Total Pages: 599
Release: 2014-06-06
Genre: Mathematics
ISBN: 3319058010

Download The Work of Raymond J. Carroll Book in PDF, ePub and Kindle

This volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement Error, Transformation and Weighting, Epidemiology, Nonparametric and Semiparametric Regression for Independent Data, Nonparametric and Semiparametric Regression for Dependent Data, Robustness, and other work. The seven subject areas reviewed in this book were chosen by Ray himself, as were the articles representing each area. The commentaries not only review Ray’s work, but are also filled with history and anecdotes. Raymond J. Carroll’s impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in disciplinary science. From the outset of his career, rather than taking the “safe” route of pursuing incremental advances, Ray has focused on tackling the most important challenges. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression.


An Introduction to Statistical Concepts

An Introduction to Statistical Concepts
Author: Debbie L. Hahs-Vaughn
Publisher: Routledge
Total Pages: 1187
Release: 2020-02-03
Genre: Psychology
ISBN: 1317228731

Download An Introduction to Statistical Concepts Book in PDF, ePub and Kindle

The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known, procedures and models, whilst also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics (e.g., effect sizes and their confidence intervals and power). This comprehensive, flexible, and accessible text includes a new chapter on mediation and moderation; expanded coverage of effect sizes; and discussions of sensitivity, specificity, false positive, and false negative, along with using the receiver operator characteristic (ROC) curve. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book, noted for its crystal-clear explanations, and its inclusion of only the most crucial equations, is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral disciplines—from education, business, communication, exercise science, psychology, sociology and more.


Statistical Concepts - A Second Course

Statistical Concepts - A Second Course
Author: Debbie L. Hahs-Vaughn
Publisher: Routledge
Total Pages: 782
Release: 2020-01-17
Genre: Psychology
ISBN: 1000124436

Download Statistical Concepts - A Second Course Book in PDF, ePub and Kindle

Statistical Concepts—A Second Course presents the last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results. In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.


Handbook of Measurement Error Models

Handbook of Measurement Error Models
Author: Grace Y. Yi
Publisher: CRC Press
Total Pages: 648
Release: 2021-09-28
Genre: Mathematics
ISBN: 1351588591

Download Handbook of Measurement Error Models Book in PDF, ePub and Kindle

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems Highlights the challenges induced by error-contaminated data Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error Describes state-of-the-art strategies for conducting in-depth research


Measurement Error in Nonlinear Models

Measurement Error in Nonlinear Models
Author: Raymond J. Carroll
Publisher: CRC Press
Total Pages: 484
Release: 2006-06-21
Genre: Mathematics
ISBN: 1420010131

Download Measurement Error in Nonlinear Models Book in PDF, ePub and Kindle

It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and ex


Proceedings of the Second Seattle Symposium in Biostatistics

Proceedings of the Second Seattle Symposium in Biostatistics
Author: Danyu Lin
Publisher: Springer Science & Business Media
Total Pages: 332
Release: 2012-12-06
Genre: Medical
ISBN: 1441990763

Download Proceedings of the Second Seattle Symposium in Biostatistics Book in PDF, ePub and Kindle

This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by Norman Breslow, David Cox and Ross Prentice and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important areas, such as longitudinal data, multivariate failure time data and genetic data, as well as innovative applications of the existing theory and methods. This volume is a valuable reference for researchers and practitioners in the field of correlated data analysis.


News

News
Author:
Publisher:
Total Pages: 554
Release: 1988-07
Genre:
ISBN:

Download News Book in PDF, ePub and Kindle

Includes pubseries: State and metropolitan area employment and unemployment; State and local government collective bargaining settlements; Major collective bargaining settlements in private industry; Consumer price index.


Mathematical Modeling in Experimental Nutrition

Mathematical Modeling in Experimental Nutrition
Author: Andrew J. Clifford
Publisher: Springer Science & Business Media
Total Pages: 413
Release: 2013-11-21
Genre: Science
ISBN: 1489919597

Download Mathematical Modeling in Experimental Nutrition Book in PDF, ePub and Kindle

Nutrients have been recognized as essential for maximum growth, successful reproduction, and infection prevention since the 1940s; since that time, the lion's share of nutrient research has focused on defining their role in these processes. Around 1990, however, a major shift began in the way that researchers viewed some nutrients particularly the vitamins. This shift was motivated by the discovery that modest declines in vitamin nutritional status are associated with an increased risk of ill-health and disease (such as neural tube defects, heart disease, and cancer), especially in those populations or individuals who are genetically predisposed. In an effort to expand upon this new understanding of nutrient action, nutritionists are increasingly turning their focus to the mathematical modeling of nutrient kinetic data. The availability of suitably-tagged (isotope) nutrients (such as B-carotene, vitamin A, folate, among others), sensitive analytical methods to trace them in humans (mass spectrometry and accelerator mass spectrometry), and powerful software (capable of solving and manipulating differential equations efficiently and accurately), has allowed researchers to construct mathematical models aimed at characterizing the dynamic and kinetic behavior of key nutrients in vivo in humans at an unparalleled level of detail.