A new edition of the classic guide to the use of statistics inmedicine, featuring examples from articles in the New EnglandJournal of Medicine
Medical Uses of Statistics has served as one of the mostinfluential works on the subject for physicians,physicians-in-training, and a myriad of healthcare experts who needa clear idea of the proper application of statistical techniques inclinical studies as well as the implications of theirinterpretation for clinical practice. This Third Editionmaintains the focus on the critical ideas, rather than themechanics, to give practitioners and students the resources theyneed to understand the statistical methods they encounter in modernmedical literature.
Bringing together contributions from more than two dozendistinguished statisticians and medical doctors, this volumestresses the underlying concepts in areas such as randomizedtrials, survival analysis, genetics, linear regression,meta-analysis, and risk analysis. The Third Editionincludes:
Numerous examples based on studies taken directly from the pagesof the New England Journal ofMedicine
Two added chapters on statistics in genetics
Two new chapters on the application of statistical methods tostudies in epidemiology
New chapters on analyses of randomized trials, linearregression, categorical data analysis, meta-analysis, subgroupanalyses, and risk analysis
Updated chapters on statistical thinking, crossover designs,p-values, survival analysis, and reporting research results
A focus on helping readers to critically interpret publishedresults of clinical research
Medical Uses of Statistics, Third Edition is a valuableresource for researchers and physicians working in anyhealth-related field. It is also an excellent supplemental book forcourses on medicine, biostatistics, and clinical research at theupper-undergraduate and graduate levels.
You can also visit the NewEngland Journal of Medicine website for relatedinformation.
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"Medical Uses of Statistics, 3 rd Edition" presents the concepts of medical statistics across a broad range of topics with a practical perspective, a moderate level of detail, and a minimal number of formulae... The text is clearly written in a consistent style." ( Journal of Clinical Research Best Practices, November 2010)
JOHN C. BAILAR III, MD, PhD, is Scholar in Residence atthe National Academy of Sciences and Professor Emeritus at theUniversity of Chicago. He served as statistical consultant for theNew England Journal of Medicine for more than ten years andwas chairman of the board of the National Institute of StatisticalSciences. Dr. Bailar has published numerous papers in the areas ofepidemiology and scientific communications.
DAVID C. HOAGLIN, PhD, is Principal Statistician at AbtBio-Pharma Solutions, Inc., a global provider of integratedclinical, health economic, and commercialization solutions for thepharmaceutical, biotech, and medical device and diagnosticsindustries. In thirty years with Abt Associates Inc., he worked onstudies and experiments in public health, income security, healthservices, housing, education, and law and justice. He has heldfaculty and research positions in statistics at Harvard Universityand also served for five years as core biostatistician for theHarvard Anesthesia Research Center. Dr. Hoaglin has publishedpapers in exploratory data analysis, outliers, meta-analysis,surgery, anesthsesia, vaccination, and multiple sclerosis.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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