Basic & Clinical Biostatistics: Fifth Edition
Chapter 1. Introduction to Medical Research
Chapter 2. Study Designs in Medical Research
Chapter 3. Summarizing Data & PresentingData in Tables & Graphs
Chapter 4. Probability & Related Topicsfor Making Inferences About Data
Chapter 5. Research Questions About One Group
Chapter 6. Research Questions About TwoSeparate or Independent Groups
Chapter 7. Research Questions About Means inThree or More Groups
Chapter 8. Research Questions AboutRelationships among Variables
Chapter 9. Analyzing Research Questions AboutSurvival
Chapter 10. Statistical Methods for MultipleVariables
Chapter 11. Survey Research
Chapter 12. Methods of Evidence-Based Medicineand Decision Analysis
Chapter 13. Reading the Medical Literature
Appendix A: Tables
Appendix B: Answers to Exercises
Appendix C: Flowcharts for Relating ResearchQuestions to Statistical Methods
Glossary
References
A Doody's Core Title for 2023!
Basic & Clinical Biostatistics provides medical students, researchers, and practitioners with the knowledge needed to develop sound judgment about data applicable to clinical care. This fifth edition has been updated throughout to deliver a comprehensive, timely introduction to biostatistics and epidemiology as applied to medicine, clinical practice, and research. Particular emphasis is on study design and interpretation of results of research.The book features “Presenting Problems” drawn from studies published in the medical literature, end-of-chapter exercises, and a reorganization of content to reflect the way investigators ask research questions. To facilitate learning, each chapter contain a set of key concepts underscoring the important ideas discussed.
Features:
- Key components include a chapter on survey research and expanded discussion
of logistic regression, the Cox model, and other multivariate statistical methods - Extensive examples illustrate statistical methods and design issues
- Updated examples using R, an open source statistical software package
- Expanded coverage of data visualization, including content on visual perception
and discussion of tools such as Tableau, Qlik and MS Power BI - Sampling and power calculations imbedded with discussion of the statistical model
- Updated content, examples, and data sets throughout