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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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.
This textbook is written by a renowned haematologist with more than 30 years of experience in teaching haematology to medical students and whose pedagogical and writing skills are widely admired within the field. Following closely the current curriculum of Imperial College London, medical students, trainee nurses and biomedical science students from other institutions will find the textbook equally suitable, since it includes the core student haematology curriculum as recommended by the Royal College of Pathologists and the British Society of Haematology expert group. This text will be equally suitable for students outside the UK.
The textbook takes a useful, practical approach, incorporating self-evaluation questions and learning objectives that give students not only the information needed to understand the topic but also clear indications on the core knowledge that students are required to know in order to progress within the field of haematology.
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.
Obstetrics & Gynaecology has established itself as a key recommendation for faculty and a firm favourite for health sciences students.
The opening sections of this new edition incorporate the relevant basic science, history and examination, investigations and diagnosis, as well as common diseases, abnormalities, and complications in gynaecology and obstetrics respectively. These are supported by two unique sections on gynaecology and obstetrics management, which are tailored to help students revise for exams, especially OSCEs. A brand new chapter covering ethics in obstetrics and gynaecology makes this fully-updated fourth edition the most comprehensive introduction available.
Obstetrics & Gynaecology now includes a companion website at www.impeyobgyn.com, featuring self-assessment MCQs and EMQs, chapter summary slides, and all the figures from the book as PowerPoint slides.