DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/mqtcx7/statistics_in_medi) has announced the addition of Elsevier Science and Technology's new report "Statistics in Medicine. Edition No. 3" to their offering.
Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses.
New in this Edition:
- New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys.
- New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression.
- Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis.
Key Topics Covered:
1. Planning Studies: From Design to Publication
2. Planning Analysis: What Do I Do with my Data?
3. Probability and Relative Frequency Distributions
4. Distributions
5. Descriptive Statistics
6. Finding Probabilities of Error
7. Confidence Intervals
8. Hypothesis Testing: Concept and Practice
9. Tests on Categorical Data
10. Risks, Odds, and ROC Curves
11. Tests on Ranked Data
12. Tests on Means of Continuous Data
13. Multi-Factor ANOVA and ANCOVA
14. Tests on Variability and Distributions
15. Managing Results of Analysis
16. Equivalence Testing
17. Bayesian Statistics
18. Sample Size Estimation and Meta-Analysis
19. Modeling Concepts and Methods
20. Clinical Decisions Based on Models
21. Regression and Correlation
22. Multiple and Curvilinear Regression
23. Survival, Logistic Regression, and Cox Regression
24. Sequential Analysis and Time Series
25. Epidemiology
26. Measuring Association and Agreement
27. Questionnaires and Surveys
28. Methods You Might Meet, But Not Every Day
For more information visit http://www.researchandmarkets.com/research/mqtcx7/statistics_in_medi
Source: Elsevier Science and Technology