Statistics in Medicine

5th Auflage
ISBN: 978-0-443-49088-0
Verlag: Elsevier Science

Buch, Englisch, 825 Seiten, Format (B × H): 191 mm x 235 mm

Statistics in Medicine, 5th Edition serves as an essential resource for health care students, professionals and researchers seeking to understand the application of statistical methods in medical research. This comprehensive text encompasses a wide range of topics, from foundational concepts to advanced techniques, ensuring that readers are well-equipped to design, analyse, and interpret health-related studies. The book includes updated chapters on critical subjects such as missing data, regression models for discrete outcomes, and the integration of machine learning and AI with statistical methodologies. Each chapter provides practical examples and step-by-step methodologies, enhancing the reader's understanding of complex concepts while reinforcing learning through exercises and real-world applications. For the academic audience, this book offers a user-friendly approach to medical statistics, making it accessible even to those with limited statistical training. By bridging the gap between theory and practice, it empowers health care professionals to conduct rigorous research, interpret findings accurately, and contribute meaningfully to advancements in medical science.

Autoren/Hrsg.

Riffenburgh, Robert H

Gillen, Daniel L

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

1. Planning Studies: From Design to Publication
2. Planning Analysis: How to Reach My Scientific Objective
3. Probability and Relative Frequency
4. Distributions
5. Descriptive Statistics
6. Finding Probabilities
7. Hypothesis Testing: Concept and Practice
8. Tolerance, Prediction, and Confidence Intervals
9. Tests on Categorical Data
10. Risks, Odds, and ROC Curves
11. Tests of Location with Continuous Outcomes
12. Equivalence Testing
13. Tests on Variability and Distributions
14. Measuring Association and Agreement
15. Linear Regression and Correlation
16. Multiple Linear and Curvilinear Regression and Multi-Factor ANOVA
17. Regression Models for Discrete Outcomes
18. Polytomous Response Regression
19. Analysis of Censored Time-To-Event Data
20. Analysis of Repeated Continuous Measures of Time
21. Sample Size Estimation
22. Clinical Trials and Group Sequential Analyses
23. Missing Data
24. Meta Analyses
25. Tree-Based Methods
26. Bayesian Statistics
27. Questionnaires and Surveys
28. Techniques to Aid Analysis
29. Data Science, Statistics, Machine Learning and AI
30. Methods You Might Meet, But Not Every Day

Über Autor(innen)

Gillen, Daniel L
Daniel L. Gillen, PhD, is Professor and Chair of Statistics at University of California, Irvine (UCI). He is Fellow of the American Statistical Association and Past President of the Western North American Region of the International Biometric Society. He leads the Data and Statistics Core for the Alzheimer's Disease Research Center at UCI and is the former head of the Biostatistics Shared Resource at the UCI Chao Family Cancer Center. He serves as a consultant to the FDA and the biopharmaceutical industry and has served on over 30 independent safety monitory boards for multi-center international clinical trials. He has published over 160 peer-reviewed articles in statistical methods and clinical science journals.

Riffenburgh, Robert H
Robert H. Riffenburgh, PhD, advises on experimental design, statistical analysis, and scientific integrity of the approximately 400 concurrent studies at the Naval Medical Center San Diego. A fellow of the American Statistical Association and Royal Statistical Society, he is former Professor and Head, Statistics Department, University of Connecticut, and has been faculty at Virginia Tech., University of Hawaii, University of Maryland, University of California San Diego, San Diego State University, and University of Leiden (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. government and for NATO. He has consulted on biostatistics throughout his career, has received numerous awards, and has published more than 140 professional articles.