
Designing Clinical Research
Format: Paperback
ISBN: 9781975174408
Publication Date: 05/19/2022
Edition Description: Fifth
Selected as a Doody's Core Title for 2022 and 2023!
For more than 30 years, Designing Clinical Research has set the standard as the most practical, authoritative guide for physicians, nurses, pharmacists, and other practitioners involved in all forms of clinical and public health research. Using a readerfriendly writing style, Drs. Warren S. Browner, Thomas B. Newman, Steven R. Cummings, Deborah G. Grady, Alison J. Huang, Alka M. Kanaya, and Mark J. Pletcher, all of the University of California, San Francisco, provide uptodate, commonsense approaches to the challenging judgments involved in designing, funding, and implementing a study. This stateoftheart fifth edition features new figures, tables, and design, as well as new editors, new content, and extensively updated references to keep you current.
For more than 30 years, Designing Clinical Research has set the standard as the most practical, authoritative guide for physicians, nurses, pharmacists, and other practitioners involved in all forms of clinical and public health research. Using a readerfriendly writing style, Drs. Warren S. Browner, Thomas B. Newman, Steven R. Cummings, Deborah G. Grady, Alison J. Huang, Alka M. Kanaya, and Mark J. Pletcher, all of the University of California, San Francisco, provide uptodate, commonsense approaches to the challenging judgments involved in designing, funding, and implementing a study. This stateoftheart fifth edition features new figures, tables, and design, as well as new editors, new content, and extensively updated references to keep you current.
- Covers clinical research in its many forms, including clinical trials, observational studies, translational science, and patientoriented research.
- Presents epidemiologic terms and principles and advanced conceptual material in a practical and readerfriendly manner.
- Discusses key changes in the field, including confounding and directed acyclic graphs, surrogate outcomes and biomarkers, instrumental variables and Mendelian randomization, regression discontinuity designs, alternative data sources, AI and machine learning, pilot studies, as well as an update on P values and Bayesian analysis..
- Covers modifications of classic randomized trials, such as pre/post, interrupted time series, differenceindifferences, stepped wedge and cluster randomized designs, as well as randomized trials in health systems.
- Adds new chapters on qualitative approaches to clinical research and on communityengaged research
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