Bailar / Hoaglin Medical Uses of Statistics

3. Auflage 2012
ISBN: 978-1-118-21118-2
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 528 Seiten, E-Book

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.

Autoren/Hrsg.

Bailar, John C.

Hoaglin, David C.

Inhaltsverzeichnis

Contributors.
Preface.
Preface to the Second Edition.
Preface to the First Edition.
Acknowledgments.
Origins of Chapters.
Introduction.
SECTION I: BROAD CONCEPTS AND ANALYTIC TECHNIQUES.
Chapter 1 Statistical Concepts Fundamental to Investigations(Lincoln E. Moses).
Chapter 2 Some Uses of Statistical Thinking (John C. BailarIII).
Chapter 3 Use of Statistical Analysis in the New England Journalof Medicine (Shilpi Agarwal, Graham A. Colditz, and John D.Emerson).
SECTION II: DESIGN.
Chapter 4 Randomized Trials and Other Parallel Comparisons ofTreatment (Nancy E. Mayo).
Chapter 5 Crossover and Self-Controlled Designs in ClinicalResearch (John C. Bailar III, Thomas A. Louis, Philip W. Lavori,and Marcia Polansky).
Chapter 6 The Series of Consecutive Cases as a Device forAssessing Outcomes of Interventions (Lincoln E. Moses).
Chapter 7 Biostatistics in Epidemiology: Design and BasicAnalysis (Mark S. Goldberg).
SECTION III: ANALYSIS.
Chapter 8 p-Values (James H. Ware, FrederickMosteller, Fernando Delgado, Christl Donnelly, and Joseph A.Ingelfinger).
Chapter 9 Understanding Analyses of Randomized Trials (NancyE. Mayo).
Chapter 10 Linear Regression in Medical Research (Paul J.Rathouz and Amita Rastogi).
Chapter 11 Statistical Analysis of Survival Data (Stephen W.Lagakos).
Chapter 12 Analysis of Categorical Data in Medical Studies(Paul S. Albert).
Chapter 13 Analyzing Data from Ordered Categories (Lincoln E.Moses, John D. Emerson, and Hossein Hosseini).
SECTION IV: COMMUNICATING RESULTS.
Chapter 14 Guidelines for Statistical Reporting in Articles forMedical Journals (John C. Bailar III and FrederickMosteller).
Chapter 15 Reporting of Subgroup Analyses in Clinical Trials(Rui Wang, Stephen W. Lagakos, James H. Ware, David J. Hunter,and Jeffrey M. Drazen).
Chapter 16 Writing about Numbers (Frederick Mosteller,Margaret Perkins, and Stephen Morrissey).
SECTION V: SPECIALIZED METHODS.
Chapter 17 Combining Results from Independent Studies:Systematic Reviews and Meta-Analysis in Clinical Research(Michael A. Stoto).
Chapter 18 Biostatistics in Epidemiology: Advanced Methods ofRegression Analysis (Mark S. Goldberg).
Chapter 19 Genetic Inference (Dan L. Nicolae, Thorsten Kurz,and Carole Ober).
Chapter 20 Identifying Disease Genes in Association Studies(Dan L. Nicolae, Thorsten Kurz, and Carole Ober).
Chapter 21 Risk Assessment (A. John Bailer and John C. BailarIII).
INDEX.

Über Autor(innen)

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.