Statistics in Medicine, Third Edition

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9780123848642: Statistics in Medicine, Third Edition

Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses.

  • User-friendly format includes medical examples, step-by-step methods, and check-yourself exercises appealing to readers with little or no statistical background, across medical and biomedical disciplines
  • Facilitates stand-alone methods rather than a required sequence of reading and references to prior text
  • Covers trial randomization, treatment ethics in medical research, imputation of missing data, evidence-based medical decisions, how to interpret medical articles, noninferiority testing, meta-analysis, screening number needed to treat, and epidemiology
  • Fills the gap left in all other medical statistics books between the reader’s knowledge of how to go about research and the book’s coverage of how to analyze results of that research

New in this Edition:

  • New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys
  • New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression
  • Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis
  • 35 Databases in Excel format used in the book and can be downloaded and transferred into whatever format is needed along with PowerPoint slides of figures, tables, and graphs from the book included on the companion site, http://www.elsevierdirect.com/companion.jsp?ISBN=9780123848642
  • Medical subject index offers additional search capabilities

"Sinopsis" puede pertenecer a otra edición de este libro.

From the Back Cover:

Praise for the Third Edition:

"I teach MPH, Preventive Medicine residents, Clinical Science and Population Health Science students. I currently use Statistics in Medicine, 2nd Ed...and now am quite fond of it. Its strength is a pedagogical trick of covering the material first at a high level (30,000 ft) and then in detail....My students like the text."

--Daniel Freeman, PhD, Professor, University of Texas Medical Branch, Galveston TX.

"It is very difficult to avoid much of the basic mathematics without losing some of the important concepts and foundation to the subject. Many authors that try, fail miserably. Riffenburgh [has] carefully crafted a text that succeeds in this goal. I consider Riffenburgh's book to be a great choice especially for a two quarter or two semester course."

--Michael Chernick, PhD, Director of Biostatistical Services, Lankenau Institute for Medical Research, Arlington VA.

Key Features:

*User-friendly format includes medical examples, step-by-step methods, and check-yourself exercises appealing to readers with little or no statistical background, across medical and biomedical disciplines

*Facilitates stand-alone methods rather than a required sequence of reading and references to prior text.

* Covers trial randomization, treatment ethics in medical research, imputation of missing data, evidence-based medical decisions, how to interpret medical articles, noninferiority testing, meta-analysis, screening number needed to treat, and epidemiology.

* Fills the gap left in all other medical statistics books between the reader’s knowledge of how to go about research and the book’s coverage of how to analyze results of that research.

New in this Edition:

* New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys.

* New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression.

* Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis.

*35 Databases in Excel format used in the book and can be downloaded and transferred into whatever format is needed along with PowerPoint slides of figures, tables, and graphs from the book included on the companion site, http://www.elsevierdirect.com/companion.jsp?ISBN=9780123848642

*Medical subject index offers additional search capabilities.

About the Author:

Robert H. Riffenburgh, PhD, advises on experimental design, statistical analysis, and scientific integrity of the approximately 400 concurrent studies at the Naval Medical Center San Diego. A fellow of the American Statistical Association and Royal Statistical Society, he is former Professor and Head, Statistics Department, University of Connecticut, and has been faculty at Virginia Tech., University of Hawaii, University of Maryland, University of California San Diego, San Diego State University, and an affiliate of University of Leiden (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. government and for NATO. He has consulted on biostatistics throughout his career, has received numerous awards, and has published more than 150 professional articles.

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Praise for the Third Edition:

"I teach MPH, Preventive Medicine residents, Clinical Science and Population Health Science students. I currently use Statistics in Medicine, 2nd Ed...and now am quite fond of it. Its strength is a pedagogical trick of covering the material first at a high level (30,000 ft) and then in detail....My students like the text."

--Daniel Freeman, PhD, Professor, University of Texas Medical Branch, Galveston TX.

"It is very difficult to avoid much of the basic mathematics without losing some of the important concepts and foundation to the subject. Many authors that try, fail miserably. Riffenburgh [has] carefully crafted a text that succeeds in this goal. I consider Riffenburgh's book to be a great choice especially for a two quarter or two semester course."

--Michael Chernick, PhD, Director of Biostatistical Services, Lankenau Institute for Medical Research, Arlington VA.

Key Features:

*User-friendly format includes medical examples, step-by-step methods, and check-yourself exercises appealing to readers with little or no statistical background, across medical and biomedical disciplines

*Facilitates stand-alone methods rather than a required sequence of reading and references to prior text.

* Covers trial randomization, treatment ethics in medical research, imputation of missing data, evidence-based medical decisions, how to interpret medical articles, noninferiority testing, meta-analysis, screening number needed to treat, and epidemiology.

* Fills the gap left in all other medical statistics books between the reader’s knowledge of how to go about research and the book’s coverage of how to analyze results of that research.

New in this Edition:

* New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys.

* New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression.

* Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis.

*35 Databases in Excel format used in the book and can be downloaded and transferred into whatever format is needed along with PowerPoint slides of figures, tables, and graphs from the book included on the companion site, http://www.elsevierdirect.com/companion.jsp?ISBN=9780123848642

*Medical subject index offers additional search capabilities.

About the Author:

Robert H. Riffenburgh, PhD, advises on experimental design, statistical analysis, and scientific integrity of the approximately 400 concurrent studies at the Naval Medical Center San Diego. A fellow of the American Statistical Association and Royal Statistical Society, he is former Professor and Head, Statistics Department, University of Connecticut, and has been faculty at Virginia Tech., University of Hawaii, University of Maryland, University of California San Diego, San Diego State University, and an affiliate of University of Leiden (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. government and for NATO. He has consulted on biostatistics throughout his career, has received numerous awards, and has published more than 150 professional articles.

About the Author:

Robert H. Riffenburgh, PhD, advises on experimental design, statistical analysis, and scientific integrity of the approximately 400 concurrent studies at the Naval Medical Center San Diego. A fellow of the American Statistical Association and Royal Statistical Society, he is former Professor and Head, Statistics Department, University of Connecticut, and has been faculty at Virginia Tech., University of Hawaii, University of Maryland, University of California San Diego, San Diego State University, and University of Leiden (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. government and for NATO. He has consulted on biostatistics throughout his career, has received numerous awards, and has published more than 140 professional articles.

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Descripción Elsevier Science Publishing Co Inc, United States, 2012. Hardback. Estado de conservación: New. 3rd edition. Language: English . Brand New Book. Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses. Nº de ref. de la librería AA59780123848642

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Descripción Elsevier Science Publishing Co Inc, 2012. Estado de conservación: New. 2012. 3rd Edition. Hardcover. Makes medical statistics easy to understand for students, practicing physicians, and researchers. This book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. Num Pages: 738 pages, Illustrations. BIC Classification: MBNS. Category: (P) Professional & Vocational. Dimension: 241 x 196 x 40. Weight in Grams: 1690. . . . . . . Nº de ref. de la librería V9780123848642

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Descripción Elsevier Science Publishing Co Inc, United States, 2012. Hardback. Estado de conservación: New. 3rd edition. Language: English . Brand New Book. Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses. Nº de ref. de la librería LIB9780123848642

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