# Statistics in Medicine / Edition 2

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… See more details below

## Overview

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

## Product Details

ISBN-13:
9780120887705
Publisher:
Elsevier Science
Publication date:
08/18/2005
Edition description:
Older Edition
Pages:
672
Product dimensions:
7.30(w) x 10.10(h) x 1.50(d)

## Related Subjects

Foreword to the Second Edition, W. M. (Mike) O'Fallon
Foreword to the First Edition, Vice Adm. Richard A. Nelson
Databases
I. A Study Course of Fundamentals
1. Data, Notation, and Some Basic Terms
2. Distributions
3. Summary Statistics
4. Confidence Intervals and Probability
5. Hypothesis Testing: Concept and Practice
6. Statistical Testing, Risks, and Odds in Medical Decisions
7. Sample Size Required for a Study
8. Statistical Prediction
9. Epidemiology
II. A Reference Guide
11. Using the Reference Guide
12. Planning Medical Studies
13. Finding Probabilities of Error
14. Confidence Intervals
15. Tests on Categorical Data
16. Tests on Ranked Data
17. Tests on Means of Continuous Data
18. Multifactor Tests on Means of Continuous Data
19. Tests on Variances of Continuous Data
20. Tests on the Distribution Shape of Continuous Data
21. Equivalence Testing
22. Sample Size Required for a Study
23. Modeling and Clinical Decisions
24. Regression and Correlation Methods
25. Survival and Time-Series Analysis
26. Methods You Might Meet, But Not Every Day Chapter Summaries References and Data Sources Tables of Probability Distributions Symbol Index Subject Index