Statistics in Medicine

• Publisher: Academic Press
• Number Of Pages: 672
• Publication Date: 2005-08-04
• ISBN-10 / ASIN: 0120887703
• ISBN-13 / EAN: 9780120887705
• Binding: Hardcover

Description: 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

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Principles of Medical Statistics

The get-it-over-with-quickly approach to statistics has been encouraged - and often necessitated - by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However, in later professional activities, clinicians and biomedical researchers will constantly be confronted with reports containing statistical expressions and analyses.Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get you thinking about data and statistical procedures. It covers many new statistical methods and approaches like box plots, stem and leaf plots, concepts of stability, the bootstrap, and the jackknife methods of resampling. The book is arranged in a logical sequence that advances from simple to more elaborate results. The text describes all the conventional statistical procedures, and offers reasonably rigorous accounts of many of their mathematical justifications. Although the conventional mathematical principles are given a respectful account, the book provides a distinctly clinical orientation with examples and teaching exercises drawn from real world medical phenomena.Statistical procedures are an integral part of the basic background needed by biomedical researchers, students, and clinicians. Containing much more than most elementary texts, Principles of Medical Statistics fills the gap often found in the current curriculum. It repairs the imbalance that gives so little attention to the role of statistics as a prime component of basic biomedical education.

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