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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
|Foreword 3rd Edition|
|Foreword 2nd Edition|
|Foreword First Edition|
|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|
|Finding Probabilities of Error|
|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|
|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|
|Measuring Association and Agreement|
|Questionnaires and Surveys|
|Methods You Might Meet, But Not Every Day|
|References and Data Sources|
|Tables of Probability Distributions|
|Table of Contents provided by Publisher. All Rights Reserved.|