How to report statistics in medicine
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How to report statistics in medicine annotated guidelines for authors, editors, and reviewers by Thomas A. Lang

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Published by American College of Physicians in New York .
Written in English

Subjects:

  • Medical statistics,
  • Medical writing

Book details:

Edition Notes

StatementThomas A. Lang, Michelle Secic.
ContributionsSecic, Michelle, 1967-
Classifications
LC ClassificationsRA409 .L357 2006
The Physical Object
Paginationp. cm.
ID Numbers
Open LibraryOL24052591M
ISBN 101930513690
LC Control Number2006043007

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Written for health care providers in a language that is neither condescending nor full of jargon, How to Report Statistics in Medicine is a very comprehensive book about statistics. The authors accurately explain complex statistical concepts without overwhelming readers with how to obtain the by: 1.   How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors, and Reviewers. This new edition makes many of the basic and advanced concepts of biostatistics more accessible to readers. It is one of the few books that focus on how appropriate statistical presentation can enhance both comprehension and credibility/5.   Book Reviews: How To Report Statistics In Medicine. Annotated Guidelines for Authors, Editors, and Reviewers. By THOMAS A. LANG and MICHELLE SECIC. Philadelphia: Amer ican College of Physicians, , xxvi + pp., price $ Detailing information needed to understand statistical reports, this guide covers all aspects of statistical presentation and analysis commonly seen in biomedical literature. Common errors in methodology and presentation are identified, allowing readers to verify completeness of most statistical reports. Descriptions of more than statistical terms and tests are also included.5/5(1).

How to Report Statistics in Medicine presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research. Containing elements of a reference book, a style manual, a dictionary, an encyclopedia, and a text book, it is the standard guide in. 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. This book not only covers the most common medical statistic concepts, but it also deciphers and clarifies many terms and concepts that we commonly see when reading medical statistics. For example, it points out many common problems people run into when reporting or interpreting information, such as the "5-year survival rate" - it notes that 4/5(19). Medical Statistics Fourth Edition A Textbook for the Health Sciences Medical statistics. 2. Medicine–Research–Statistical methods. I. Machin, David, – II. Walters, Stephen John. III. in this book is a chapter on reliability and validity. Students of the health sciences, such as medicine, nursing, dentistry, physio- File Size: 2MB.

The book " How to Report Statistics in Medicine" is written by Tom Lang and Michelle Secic in , published by the American College of Physicians (ACP). Just as Edward J. Huth wrote in his foreword, " .. physician who knows nothing about statistical methods expect to find in reports of clinical trials of drugs statistical evidence ..". How to Report Statistics in Medicine presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research. Containing elements of a reference book, a style manual, a dictionary, an encyclopedia. She coauthored the book, ‘How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors and Reviewers’ which was published by the American college of physicians (1st edition , translation to Chinese , 2nd edition , translation Cited by: MRC Biostatistics Unit 17th Armitage Lecture now available to view! With the theme causal inference in action, Professor Miguel Hernan, Kolokotrones Professor of Biostatistics and Epidemiology at Harvard School of Public Health, gave the keynote lecture on How do we learn what works?A two-step algorithm for causal inference from observational data.