Applied Categorical Data Analysis And Translational Research

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Applied Categorical Data Analysis and Translational Research

Author : Chap T. Le
Publisher : John Wiley & Sons
ISBN 13 : 0470371307
Total Pages : 418 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Applied Categorical Data Analysis and Translational Research by : Chap T. Le

Download or read book Applied Categorical Data Analysis and Translational Research written by Chap T. Le and published by John Wiley & Sons. This book was released on 2009-12-14 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: An updated treatment of categorical data analysis in the biomedical sciences that now explores applications to translational research Thoroughly updated with the latest advances in the field, Applied Categorical Data Analysis and Translational Research, Second Edition maintains the accessible style of its predecessor while also exploring the importance of translational research as it relates to basic scientific findings within clinical practice. With its easy-to-follow style, updated coverage of major methodologies, and broadened scope of coverage, this new edition provides an accessible guide to statistical methods involving categorical data and the steps to their application in problem solving in the biomedical sciences. Delving even further into the applied direction, this update offers many real-world examples from biomedicine, epidemiology, and public health along with detailed case studies taken straight from modern research in these fields. Additional features of the Second Edition include: A new chapter on the relationship between translational research and categorical data, focusing on design study, bioassay, and Phase I and Phase II clinical trials A new chapter on categorical data and diagnostic medicine, with coverage of the diagnostic process, prevalence surveys, the ROC function and ROC curve, and important statistical considerations A revised chapter on logistic regression models featuring an updated treatment of simple and multiple regression analysis An added section on quantal bioassays Each chapter features updated and new exercise sets along with numerous graphs that demonstrate the highly visual nature of the topic. A related Web site features the book's examples as well as additional data sets that can be worked with using SAS® software. The only book of its kind to provide balanced coverage of methods for both categorical data and translational research, Applied Categorical Data Analysis and Translational Research, Second Edition is an excellent book for courses on applied statistics and biostatistics at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the biomedical and public health fields.

Studyguide for Applied Categorical Data Analysis and Translational Research by Le, Chap T.

Author : Cram101 Textbook Reviews
Publisher : Cram101
ISBN 13 : 9781478482604
Total Pages : 102 pages
Book Rating : 4.4/5 (826 download)

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Book Synopsis Studyguide for Applied Categorical Data Analysis and Translational Research by Le, Chap T. by : Cram101 Textbook Reviews

Download or read book Studyguide for Applied Categorical Data Analysis and Translational Research by Le, Chap T. written by Cram101 Textbook Reviews and published by Cram101. This book was released on 2013-05 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Never HIGHLIGHT a Book Again Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9780872893795. This item is printed on demand.

Applied Categorical Data Analysis

Author : Chap T. Le
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 318 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Applied Categorical Data Analysis by : Chap T. Le

Download or read book Applied Categorical Data Analysis written by Chap T. Le and published by Wiley-Interscience. This book was released on 1998-09-23 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nonstatistician's quick reference to applied categorical data analysis With a succinct, unified approach to applied categorical data analysis and an emphasis on applications, this book is immensely useful to researchers and students in the biomedical disciplines and to anyone concerned with statistical analysis. This self-contained volume provides up-to-date coverage of all major methodologies in this area of applied statistics and acquaints the reader with statistical thinking as expressed through a variety of modern-day topics and techniques. Applied Categorical Data Analysis introduces a number of new research areas, including the Mantel-Haenszel method, Kappa statistics, ordinal risks, odds ratio estimates, goodness-of-fit, and various regression models for categorical data. Chap T. Le, author of Health and Numbers and Applied Survival Analysis, presents his information in a user-friendly format and an accessible style while purposefully keeping the mathematics to a level appropriate for students in applied fields. Well supplemented with helpful graphs and tables, Applied Categorical Data Analysis: * Covers both basic and advanced topics * Employs many real-life examples from biomedicine, epidemiology, and public health * Presents case studies in meticulous detail * Provides end-of-chapter exercise sets and solutions * Incorporates samples of computer programs (most notably in SAS). Applied Categorical Data Analysis is an important resource for graduate students and professionals who need a compact reference and guide to both the fundamentals and applications of the major methods in the field.

Applied Categorical and Count Data Analysis

Author : Wan Tang
Publisher : CRC Press
ISBN 13 : 1000863972
Total Pages : 395 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Applied Categorical and Count Data Analysis by : Wan Tang

Download or read book Applied Categorical and Count Data Analysis written by Wan Tang and published by CRC Press. This book was released on 2023-04-06 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields. Features: Describes the basic ideas underlying each concept and model Includes R, SAS, SPSS and Stata programming codes for all the examples Features significantly expanded Chapters 4, 5, and 8 (Chapters 4-6, and 9 in the second edition Expands discussion for subtle issues in longitudinal and clustered data analysis such as time varying covariates and comparison of generalized linear mixed-effect models with GEE

Categorical Data Analysis by Example

Author : Graham J. G. Upton
Publisher : John Wiley & Sons
ISBN 13 : 1119307864
Total Pages : 212 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Categorical Data Analysis by Example by : Graham J. G. Upton

Download or read book Categorical Data Analysis by Example written by Graham J. G. Upton and published by John Wiley & Sons. This book was released on 2016-11-14 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject. Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations. The R code used for these is available and may be freely adapted. In addition, this book: Uses an example to illustrate each new topic in categorical data Provides a clear explanation of an important subject Is understandable to most readers with minimal statistical and mathematical backgrounds Contains examples that are accompanied by R code and resulting output Includes starred sections that provide more background details for interested readers Categorical Data Analysis by Example is a reference for students in statistics and researchers in other disciplines, especially the social sciences, who use categorical data. This book is also a reference for practitioners in market research, medicine, and other fields.

Lectures on Categorical Data Analysis

Author : Tamás Rudas
Publisher : Springer
ISBN 13 : 1493976931
Total Pages : 292 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Lectures on Categorical Data Analysis by : Tamás Rudas

Download or read book Lectures on Categorical Data Analysis written by Tamás Rudas and published by Springer. This book was released on 2018-03-30 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method to correctly determine asymptotic standard errors for complex quantities reported in surveys; the fundamentals of the main theories of causal analysis based on observational data; the usefulness of the odds ratio as a measure of association; and a detailed discussion of log-linear models, including graphical models. The book contains over 200 problems, many of which may also be used as starting points for undergraduate research projects. The material can be used by students toward a variety of goals, depending on the degree of theory or application desired.

Applied Categorical and Count Data Analysis

Author : Wan Tang
Publisher :
ISBN 13 : 9781003109815
Total Pages : 0 pages
Book Rating : 4.1/5 (98 download)

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Book Synopsis Applied Categorical and Count Data Analysis by : Wan Tang

Download or read book Applied Categorical and Count Data Analysis written by Wan Tang and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields"--

Categorical Data Analysis

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1118710940
Total Pages : 756 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Categorical Data Analysis by : Alan Agresti

Download or read book Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2013-04-08 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." —Statistics in Medicine "It is a total delight reading this book." —Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference." —Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis. Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features: An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis New sections introducing the Bayesian approach for methods in that chapter More than 100 analyses of data sets and over 600 exercises Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutions Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.

Medical Biostatistics

Author : Abhaya Indrayan
Publisher : CRC Press
ISBN 13 : 149879954X
Total Pages : 984 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Medical Biostatistics by : Abhaya Indrayan

Download or read book Medical Biostatistics written by Abhaya Indrayan and published by CRC Press. This book was released on 2017-11-27 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.

Medical Biostatistics, Third Edition

Author : Abhaya Indrayan
Publisher : CRC Press
ISBN 13 : 1439884145
Total Pages : 1027 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Medical Biostatistics, Third Edition by : Abhaya Indrayan

Download or read book Medical Biostatistics, Third Edition written by Abhaya Indrayan and published by CRC Press. This book was released on 2012-08-07 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Third Edition focuses on the statistical aspects of medicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. The author concludes "Just as results of medical tests, statistical results can be false negative or false positive". This edition provides expanded coverage of topics and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of interest.

Applied categorical data analysis

Author : Daniel H. Freeman
Publisher :
ISBN 13 :
Total Pages : 318 pages
Book Rating : 4.:/5 (246 download)

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Book Synopsis Applied categorical data analysis by : Daniel H. Freeman

Download or read book Applied categorical data analysis written by Daniel H. Freeman and published by . This book was released on 1987 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

Author : L. Andries van der Ark
Publisher : Psychology Press
ISBN 13 : 1135704856
Total Pages : 274 pages
Book Rating : 4.1/5 (357 download)

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Book Synopsis New Developments in Categorical Data Analysis for the Social and Behavioral Sciences by : L. Andries van der Ark

Download or read book New Developments in Categorical Data Analysis for the Social and Behavioral Sciences written by L. Andries van der Ark and published by Psychology Press. This book was released on 2005-01-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits. The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.

An Introduction to Categorical Data Analysis

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1119405270
Total Pages : 400 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis An Introduction to Categorical Data Analysis by : Alan Agresti

Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Longitudinal Categorical Data Analysis

Author : Brajendra C. Sutradhar
Publisher : Springer
ISBN 13 : 1493921371
Total Pages : 387 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Longitudinal Categorical Data Analysis by : Brajendra C. Sutradhar

Download or read book Longitudinal Categorical Data Analysis written by Brajendra C. Sutradhar and published by Springer. This book was released on 2014-10-30 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories. Thus, unlike the existing books on cross-sectional categorical data analysis using log linear models, this book uses multinomial probability models both in cross-sectional and longitudinal setups. A theoretical foundation is provided for the analysis of univariate multinomial responses, by developing models systematically for the cases with no covariates as well as categorical covariates, both in cross-sectional and longitudinal setups. In the longitudinal setup, both stationary and non-stationary covariates are considered. These models have also been extended to the bivariate multinomial setup along with suitable covariates. For the inferences, the book uses the generalized quasi-likelihood as well as the exact likelihood approaches. The book is technically rigorous, and, it also presents illustrations of the statistical analysis of various real life data involving univariate multinomial responses both in cross-sectional and longitudinal setups. This book is written mainly for the graduate students and researchers in statistics and social sciences, among other applied statistics research areas. However, the rest of the book, specifically the chapters from 1 to 3, may also be used for a senior undergraduate course in statistics.

Categorical Statistics for Communication Research

Author : Bryan E. Denham
Publisher : John Wiley & Sons
ISBN 13 : 1118927095
Total Pages : 290 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Categorical Statistics for Communication Research by : Bryan E. Denham

Download or read book Categorical Statistics for Communication Research written by Bryan E. Denham and published by John Wiley & Sons. This book was released on 2016-10-17 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for statistical procedures with data analyses illustrating techniques such as log- linear modeling and logistic regression analysis. Provides techniques for analyzing categorical data from a communication studies perspective Provides an accessible presentation of techniques for analyzing categorical data for communication scholars and other social scientists working at the advanced undergraduate and graduate teaching levels Illustrated with examples from different types of communication research such as health, political and sports communication and entertainment Includes exercises at the end of each chapter and a companion website containing exercise answers and chapter-by-chapter PowerPoint slides

Applied categorical data analysis

Author : Daniel H. Freeman (jr.)
Publisher :
ISBN 13 :
Total Pages : 318 pages
Book Rating : 4.:/5 (848 download)

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Book Synopsis Applied categorical data analysis by : Daniel H. Freeman (jr.)

Download or read book Applied categorical data analysis written by Daniel H. Freeman (jr.) and published by . This book was released on 1987 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Translational Research in Coronary Artery Disease

Author : Wilbert S. Aronow
Publisher : Academic Press
ISBN 13 : 0128026057
Total Pages : 246 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Translational Research in Coronary Artery Disease by : Wilbert S. Aronow

Download or read book Translational Research in Coronary Artery Disease written by Wilbert S. Aronow and published by Academic Press. This book was released on 2015-10-29 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Translational Research in Coronary Artery Disease: Pathophysiology to Treatment covers the entire spectrum of basic science, genetics, drug treatment, and interventions for coronary artery disease. With an emphasis on vascular biology, this reference fully explains the fundamental aspects of coronary artery disease pathophysiology. Included are important topics, including endothelial function, endothelial injury, and endothelial repair in various disease states, vascular smooth muscle function and its interaction with the endothelium, and the interrelationship between inflammatory biology and vascular function. By providing this synthesis of current research literature, this reference allows the cardiovascular scientist and practitioner to access everything they need from one source. Provides a concise summary of recent developments in coronary and vascular research, including previously unpublished data Summarizes in-depth discussions of the pathobiology and novel treatment strategies for coronary artery disease Provides access to an accompanying website that contains photos and videos of noninvasive diagnostic modalities for evaluation of coronary artery disease