Language : English
Published : 2017-12-20
Pages : 328
Research Methods in Radiology
Research Methods in Radiology provides concise, practical insights on how to design clinical and experimental studies in diagnostic imaging. This unique resource encompasses contributions from leaders in academic radiology as well as top epidemiologists, biostatisticians, and librarians with vast multidisciplinary and radiology research experience. The material reflects years of expertise teaching core biostatistics in radiology principles to residents, fellows, radiologists, and epidemiologists. Given the vast amount of published information on research methodology and statistics in radiology, the authors’ goal was to write a high-yield review and study tool rather than a comprehensive book. Key topics are succinctly addressed in each chapter, including measurements in radiology; decision analysis in radiology; and systemic reviews, evidence-based imaging, and knowledge translation. Online exercises related to each topic enable residents to prepare for radiology board examinations and research radiologists to apply knowledge to clinical studies. Key Highlights Introductory chapters on analysis of diagnostic tests, linear and logistic regression, meta-analysis, statistical inference, and economic evaluation provide easy-to-follow tutorials Each chapter includes learning objectives, basic concepts, supplementary tables, and ancillary online material Case studies with images, graphs, and tables highlight primary “take home” points Sample size calculations are illustrated for a wide range of research questions Code is included for use in R, free open-source software for statistical analysis This book is an indispensable review of research methodology for radiology students and residents. Practicing clinicians will also benefit from this precisely focused reference tool on clinical and experimental research.
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“PreTest” is the closest you can get to seeing the USMLE Step 1 without actually taking it! Great for course review and the USMLE Step 1, “PreTest” asks the right questions so you’ll know the right answers. You’ll find 500 clinical-vignette style questions and answers along with complete explanations of correct and incorrect answers. The content has been reviewed by students who recently passed their exams, so you know you are studying the most relevant and up-to-date material possible. No other study guide targets what you really need to know in order to pass like “PreTest”! It includes: 500 clinical-vignette style questions and robust answers; “High Yield Facts” section pinpoints must know content for the shelf exam; anatomical illustrations to test your knowledge on neuroanatomy; MRIs and CTs incorporate clinical knowledge of the nervous system.
About the Author
Allan Siegel, PhD is a Professor in the Department of Neurology & Neurosciences, with a joint appointment in the Department of Psychiatry at UMDNJ-New Jersey Medical School (Newark, NJ). His areas of research interest include neurobiology of aggression and rage; behavioral neuropharmacology; neuroanatomy; limbic system and behavior.
Thoroughly updated for currency and with exciting new practical examples throughout, this popular text provides the tools, practice, and basic knowledge for success in the biotech workforce. With its balanced coverage of basic cell and molecular biology, fundamental techniques, historical accounts, new advances, and hands-on applications, the Third Edition emphasizes the future of biotechnology and the biotechnology student’s role in that future. Two new features-Forecasting the Future, and Making a Difference-along with several returning hallmark features, support the new focus.
The fully revised edition of this highly respected textbook addresses the most important theoretical and empirical debates in the sociology of health and medicine. Chapter by chapter the book examines important issues such as the complexities surrounding health and identity, health inequalities, and the organization and provision of health care. A particular strength of the book is its careful attention to theoretical developments in the field.
The second edition has been rigorously updated to take account of recent theories and evidence in medical sociology. New to this edition are discussions of globalization, individualization, medicalization, new medical technologies and the sociology of the body. The new edition also looks in detail at recent social change and hotly debated explanations for the patterning of health by socioeconomic status, gender and ethnicity. In addition, it examines developments in contemporary health care, including the reconceptualization of patients as consumers.
The result is a text that will be of interest to upper-level undergraduates and postgraduate students in sociology and social policy, as well as students of the allied health professions looking for an in-depth and forward-thinking introduction to medical sociology.
- Chapter 1 Enduring theoretical legacies
- Chapter 2 Contemporary theories of health and medicine in a changing world
- Chapter 3 Feminism, gender theories and health
- Chapter 4 Socio-economic inequalities in health
- Chapter 5 Gender inequalities in health
- Chapter 6 ‘Race’, ethnicity and health
- Chapter 7 Health systems and healthcare in transition
- Chapter 8 Professions in transition
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Like its two successful previous editions, Health & Numbers: A Problems-Based Introduction to Biostatistics, Third Edition, is the only fully problems-based introduction to biostatistics and offers a concise introduction to basic statistical concepts and reasoning at a level suitable for a broad spectrum of students and professionals in medicine and the allied health fields. This book has always been meant for use by advanced students who have not previously had an introductory biostatistics course – material often presented in a one-semester course – or by busy professionals who need to learn the basics of biostatistics. This user-friendly resource features over 200 real-life examples and real data to discuss and teach fundamental statistical methods. The new edition offers even more exercises than the second edition, and features enhanced Microsoft Excel and SAS samples and examples. Health & Numbers, Third Edition, truly strikes a balance between principles and methods of calculation that is particularly useful for students in medicine and health-related fields who need to know biostatistics.