Evaluating Clinical and Public Health Interventions: A Practical Guide to Study Design and Statistics

by Mitchell H. Katz

Overview

Whether you are evaluating the effectiveness of a drug, a medical device, a behavioral intervention, a community mobilization, or even a new law, this is the book for you. Written in plain language, it simplifies the process of designing interventions, analyzing the data, and publishing the results. Because the choice of research design depends on the nature of the intervention, the book covers randomized and nonrandomized designs, prospective and retrospective studies, planned clinical trials and observational studies. In addition to reviewing standard statistical analysis, the book has easy-to-follow explanations of cutting edge techniques for evaluating interventions, including propensity score analysis, instrumental variable analysis, interrupted time series analysis and sensitivity analysis. All techniques are illustrated with up-to-date examples from medical and public health literature. This will be essential reading for a wide range of healthcare professionals involved in research as well as those more specifically interested in public health issues and epidemiology.

Product Details

ISBN-13:	9780521514880
Publisher:	Cambridge University Press
Publication date:	04/29/2010
Pages:	176
Product dimensions:	7.60(w) x 9.80(h) x 0.50(d)

About the Author

Mitchell H. Katz is Clinical Professor of Medicine, Epidemiology and Biostatistics, University of California, San Francisco and Attending Physician, San Francisco General Hospital, and Director, San Francisco Department of Public Health, San Francisco, USA.

Table of Contents

Preface; 1. Introduction; 2. Interventions; 3. Evaluating interventions; 4. Randomized designs; 5. Nonrandomized designs; 6. Statistical analysis of intervention trials; 7. Methods for adjusting for baseline differences between treatment groups; 8. Time series analyses; 9. Special issues with intervention studies; 10. Research to action; 11. Conclusion; Index.