Be ready with specific evidence when you present patient plans during medical rounds! Concise and easy to use, Introduction to Evidence-Based Medicine: Key Summaries for Common Medical Practices simplifies the complexity of clinical studies using key landmark trials in the core medicine specialties. Ideal for those early in their medical education and career, this portable guide helps you make the most of your limited time by introducing and explaining classic studies, preparing you to seek out and quickly digest future evidence-based medicine information. - Highlights the landmark trials that have driven the evolution in medical practice, focusing on the critical information necessary to know about the study. - Organizes evidence by disease and further by diagnostic or therapeutic intervention. - Includes key takeaways and important notes from trials. - Indicates which studies are new or controversial to help you develop an informed perspective.
Be ready with specific evidence when you present patient plans during medical rounds! Concise and easy to use, Introduction to Evidence-Based Medicine: Key Summaries for Common Medical Practices simplifies the complexity of clinical studies using key landmark trials in the core medicine specialties. Ideal for those early in their medical education and career, this portable guide helps you make the most of your limited time by introducing and explaining classic studies, preparing you to seek out and quickly digest future evidence-based medicine information. - Highlights the landmark trials that have driven the evolution in medical practice, focusing on the critical information necessary to know about the study. - Organizes evidence by disease and further by diagnostic or therapeutic intervention. - Includes key takeaways and important notes from trials. - Indicates which studies are new or controversial to help you develop an informed perspective.
Medical errors are one of the leading causes of death. Deliver the highest quality care to your patients by recognizing and minimizing common mistakes. Providing quality care free of clinical errors isn't just a matter of knowing what to do in any given situation—it's about actively knowing what not to do. Mistake-Based Learning in Cardiology: Avoiding Medical Errors provides healthcare professionals with a summary of the common ways to inadvertently cause medical errors for each major clinical action. This resource also provides valuable information on why the mistake may be made and openly discusses medical errors to facilitate growth, learning, and psychological safety in today's workplace. - Identifies the most common errors associated with each disease and clinical action. - Dissects each mistake into potential reasoning errors and pinpoints the major clinical principles related to the error. - Helps you understand why the mistake was made and how to avoid similar mistakes, empowering you with pre-emptive thoughts that act as an excellent first-line defense against medical mistakes. - Supports you with timely, point-of-care solutions if the medical error were to occur. - Uses a concise, templated format for quick reference and review. - Helps prepare you for clinical rotations and future practice, as well as for the medicine and cardiology board exams. - An eBook version is included with purchase. The eBook allows you to access all of the text, figures and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud.
This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to a more innovative approach in which strategies are employed to compress and optimize the clinical development plan and associated timelines. However, these strategies are generally being considered on an individual trial basis and not as part of a fully integrated overall development program. Such optimization at the trial level is somewhat near-sighted and does not ensure cost, time, or development efficiency of the overall program. This book seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for achieve global optimization in each phase of the drug development process. Describes specific techniques to support optimization including adaptive designs, precision medicine, survival-endpoints, dose finding and multiple testing. Gives practical approaches to handling missing data in clinical trials using SAS. Looks at key controversial issues from both a clinical and statistical perspective. Presents a generous number of case studies from multiple therapeutic areas that help motivate and illustrate the statistical methods introduced in the book. Puts great emphasis on software implementation of the statistical methods with multiple examples of software code (both SAS and R). It is important for statisticians to possess a deep knowledge of the drug development process beyond statistical considerations. For these reasons, this book incorporates both statistical and "clinical/medical" perspectives.
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