Clinical Research for Health Professionals
A User-Friendly GuideBy
- Mitchell Batavia, PhD, PT, Associate Professor of Physical Therapy, School of Education, New York University, New York, NY, USA
Learn not only how to recognize high-quality research, but how to improve your own research and apply it to patient care. Plus, find out how to start a journal club, write quality case reports and how to most effectively present your research to others. This book is ideal guide for students at both graduate and undergraduate levels who might be having difficulty with research concepts as well as for practiced clinicians interested in a fresh approach to clinical research.
Paperback, 160 Pages
Published: October 2000
Imprint: Butterworth Heinemann
"A very well-written reference using simple language to help students understand concepts. Not detailed enough for our primary textbook, but I highly recommend it as an alternative reference."
-Thomas Bevins, Florida Gulf Coast University
A few confusing visuals...The book has a mixed focus-science at times, practical advice at times.
"basic, easy to understand...good for clinicians just beginning research..."
- HOW TO USE THIS BOOK AND OVERVIEW: The Boat Metaphor; Why Research?; ANATOMY AND PHYSIOLOGY: UNDERSTANDING RESEARCH CONCEPTS: Anatomy: Understanding the Research Process; Questions; Hypotheses; Theory; Designs; Sampling; Measurement; Descriptive Statistics; Inferential Statistics; Tests of Significance; Putting It All Together: Matching Question-Design-Analysis; The Function of Research; PATHOLOGY and VACCINATIONS: Mistakes with the Investigator; Mistakes with the Treatment; Mistakes with the Subjects; Mistakes in Measurement; Mistakes in Conducting Studies over Time; Mistakes in Math; THE EXAMINATION: FINDING MISTAKES IN STUDIES: Evaluating Research: Is It Believable?; Where to Find It in a Report; CLINICIANS AND GRADUATE STUDENTS: Just for Clinicians; Just for Graduate Students; The Future: A Final Word...or Two...or Three; Appendix A: Resources; Appendix B: List of Potential Biases in Research