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Handbook for Clinical Research: Design, Statistics, and Implementation

by Flora Hammond, James Malec, Ralph Buschbacher and Todd Nick Demos Medical
Pub Date:
Hbk 352 pages
AU$145.00 NZ$149.57
Product Status: Available in Approx 14 days
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The majority of physicians are poorly knowledgeable about statistics and research design, yet are expected to do clinical research and write articles (if in academia) or, at the very least, to read the literature critically and provide evidence-based care to patients. The basic skills involved are touched on very minimally in residency, but not in enough depth for an untrained investigator to successfully design or conduct a study, or analyze research findings in any meaningful way. This volume is intended as a "quick fix", allowing readers to look up information rapidly about various design types and statistical methods to see what the pros, cons, and indications for each are. Research implementation, including regulatory issues and grant writing, is also covered. The book is unique in physical medicine and rehabilitation, and with the increased emphasis on outcomes measurement and push toward a national agenda for disability research, will appeal both to investigators planning and executing studies and clinicians looking to better understand how the findings impact their practice. A list of topics with an outline of headings for each of the sections is attached.

Handbook for Clinical Research features:
•Consistent approach/uniform format-allows readers to find the information they need rapidly
•Unique focus on research and statistics in physical medicine and rehabilitation
•Designed to be accessible for clinicians
•Examples drawn from all rehab areas-broad appeal across subspecialties

1. Choosing a Study Design; 2. Qualitative research; 3. Single case design; 4. Studies of associations; 5. Single case designs; 6. Observational; 7. Survey research; 8. Randomized; 9. Meta-analysis; 10. Evidence-Based; 11. Samples and Populations; 12. Classical probability theory; 13. Bayesian theory; 14. Descriptive statistics; 15. Types of data; 16. Data distributions; 17. Epidemiology Study; 18. Choosing a Test; 19.Statistics for Hypothesis testing; 20. Tests of association; 21. Prediction; 22. Analysis of Survival and Hazards Data; 23. Sample size and Power; 24. Sources for Error; 25. Measure Development; 26. Graphing Data, Charts, Figures, and Tables; 27. Clinical Significance versus Statistical Significance; 28. Replication, Reproducibility and Generalizability; 29. Lies and Statistics; 30. Hypothesis and Aims; 31. Manuals of Procedures; 32. Common Problems in medical research; 33. IRB/Ethics; 34. Grant Writing

Flora Hammond MD, Chair, Physical Medicine and Rehabilitation, Covalt Professor of Physical Medicine and Rehabilitation, University of Indiana School of Medicine, and Chief of Medical Affairs, Rehabilitation Hospital of Indiana, Indianapolis;

James Malec PhD, Research Director, Rehabilitation Hospital of Indiana and Professor Emeritus, Mayo Clinic

Todd Nick Professor, College of Medicine, Department of Pediatrics, Professor, College of Public Health, Department of Biostatistics, Section Chief, Biostatistics, University of Arkansas for Medical Sciences, Little Rock Arkansas