Statistics in Medicine

by Riffenburgh

• ISBN13: 9780123848642
• ISBN10: 0123848644
• Edition: 3rd
• Format: Hardcover
• Copyright: 2012-07-09
• Publisher: Elsevier Science

Summary

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. Statistics in Medicine, Third Edition offers a unique combination of reference information for practitioners and researchers, along with core statistical methods for medical and health care students. It makes medical statistics easy for the non-biostatistician by outlining the common statistical methods used in 90% of medical research and clearly explaining the underlying basics. The book does not require a significant level of statistical knowledge, and provides abundant clinical examples and exercises to reinforce concepts. Easy-to-follow format incorporates medical examples, step-by-step methods, and "check -yourself" exercises Appeals to readers with little or no statistical background, across medical and biomedical disciplines Two new opening chapters summarize the research development steps, from conceiving a study to putting obtained data in an analyzable form, to finishing analysis and publishing the study. (1) Designing a study, acquiring data, & writing for journals, and (2) Planning analysis: What should I do with my data? Allows the book to stand alone as an overview guide for research in medicine Fills the gap left in all other medical statistics books between the reader's knowledge of how to go about research and the books' coverage of how to analyze results of that research Within the opening "Plan of the Book" three recommend teaching plans will be listed: one recommending chapters/sections for a 2-credit-one-term introduction, one for a 3-credit-one-term introduction, and one for a 1-year course Enhances flexibility of book content for use in courses across medical and biomedical disciplines Saves researchers and professors time in looking for two separate books to teach a course and conduct research Unique separate section of chapter summaries at the end of the book - a sort of a Reader's Digest summary of the book that highlights the key results (formulas, method algorithms, and check lists) Clinician/researchers will appreciate a quick reference source when they may not have the time or patience to read through the entire book Students will be able to use these sections as a study guide or a quick refresher Companion web site hosts: Databases in Excel format that were used in the book, which can be downloaded and transferred into whatever format is needed PowerPoint slides of figures, tables, and graphs from the book Links to most commonly used statistical software packages (SAS, SPSS, Minitab), ISM, SSM Researchers and students can both use the databases to perform the exercises given in the book or to practice using any appropriate statistical methods Researcher/professors will use PowerPoint slides in their professional/course lectures Researchers and students may both need to know where to find recommended software packages to analyze their data

Table of Contents

Databases

Foreword 3rd Edition

Foreword 2nd Edition

Foreword First Edition

Acknowledgments

How to Use this Book

Planning Studies: From Design to Publication

Planning Analysis: What Do I Do with my Data?

Probability and Relative Frequency Distributions

Distributions

Descriptive Statistics

Finding Probabilities of Error

Confidence Intervals

Hypothesis Testing: Concept and Practice

Tests on Categorical Data

Risks, Odds, and ROC Curves

Tests on Ranked Data

Tests on Means of Continuous Data

Multi-Factor ANOVA and ANCOVA

Tests on Variability and Distributions

Managing Results of Analysis

Equivalence Testing

Bayesian Statistics

Sample Size Estimation and Meta-Analysis

Modeling Concepts and Methods

Clinical Decisions Based on Models

Regression and Correlation

Multiple and Curvilinear Regression

Survival, Logistic Regression, and Cox Regression

Sequential Analysis and Time Series

Epidemiology

Measuring Association and Agreement

Questionnaires and Surveys

Methods You Might Meet, But Not Every Day

References and Data Sources

Tables of Probability Distributions

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