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Statistics in Medicine
Robert H. Riffenburgh
出版
Elsevier Science
, 2006
主題
Business & Economics / Operations Research
Computers / Data Science / Bioinformatics
Health & Fitness / General
Mathematics / Applied
Mathematics / Probability & Statistics / General
Medical / General
Medical / Clinical Medicine
Medical / Epidemiology
Medical / Health Risk Assessment
Medical / Internal Medicine
Medical / Public Health
Medical / Biostatistics
Medical / Research
Psychology / Research & Methodology
Science / Life Sciences / Biology
Social Science / Research
Technology & Engineering / Industrial Health & Safety
Technology & Engineering / Biomedical
ISBN
0120887703
9780120887705
URL
http://books.google.com.hk/books?id=Q2lrAAAAMAAJ&hl=&source=gbs_api
註釋
Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context.
Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises
Two-part design features course material and a professional reference section
Chapter summaries provide a review of formulas, method algorithms, and check lists
Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods
New in this Edition:
New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods
New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions
Updated database coverage and additional exercises
Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression
Thorough discussion on required sample size