Aimed at clinical researchers at the beginning of their careers, this guide introduces clinical research design. It explains the basics of clinical research, conceiving the research question and developing the study plan, choosing study participants, planning measurements, estimating sample size, and ethical issues; designing cross-sectional, cohort, and case-control studies and randomized blinded trials and studies of medical tests, as well as alternate interventional study designs; and research using existing data or specimens, designing, selecting, and administering self-reported measures, study implementation and quality control, data management, and writing a proposal for funding. This edition has new content and new chapters on qualitative approaches to clinical research and community-engaged research, and it modernizes the approach to understanding causal effects and includes an introduction to counterfactual models and directed acyclic graphs. It moves exercises to the ends of chapters, expands the glossary, and redesigns figures. Also provided is online access to an ebook. Annotation ©2022 Ringgold, Inc., Portland, OR (protoview.com)
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 reader-friendly 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 up-to-date, commonsense approaches to the challenging judgments involved in designing, funding, and implementing a study. This state-of-the-art 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 patient-oriented research.
Presents epidemiologic terms and principles and advanced conceptual material in a practical and reader-friendly 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, difference-in-differences, 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 community-engaged research
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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 reader-friendly 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 up-to-date, commonsense approaches to the challenging judgments involved in designing, funding, and implementing a study. This state-of-the-art fifth edition features new figures, tables, and design, as well as new editors, new content, and extensively updated references to keep you current.