Biostatistics for Radiologists Book
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Biostatistics for Radiologists


  • Author : Francesco Sardanelli
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-03-31
  • Genre: Medical
  • Pages : 231
  • ISBN 10 : 9788847011335
  • Total Read : 59
  • File Size : 10,5 Mb

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Biostatistics for Radiologists Summary:

The aim of this book is to present statistical problems and methods in a friendly way to radiologists, emphasizing statistical issues and methods most frequently used in radiological studies (e.g., nonparametric tests, analysis of intra- and interobserver reproducibility, comparison of sensitivity and specificity among different imaging modality, difference between clinical and screening application of diagnostic tests, ect.). The tests will be presented starting from a radiological "problem" and all examples of statistical methods applications will be "radiological".

Research Methods in Radiology Book

Research Methods in Radiology


  • Author : Andrea S. Doria
  • Publisher : Thieme
  • Release Date : 2018-02-09
  • Genre: Medical
  • Pages : 328
  • ISBN 10 : 9781604068276
  • Total Read : 86
  • File Size : 14,8 Mb

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Research Methods in Radiology Summary:

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.

Bayesian Biostatistics and Diagnostic Medicine Book

Bayesian Biostatistics and Diagnostic Medicine


  • Author : Lyle D. Broemeling
  • Publisher : CRC Press
  • Release Date : 2007-07-12
  • Genre: Mathematics
  • Pages : 216
  • ISBN 10 : 1584887680
  • Total Read : 98
  • File Size : 14,6 Mb

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Bayesian Biostatistics and Diagnostic Medicine Summary:

There are numerous advantages to using Bayesian methods in diagnostic medicine, which is why they are employed more and more today in clinical studies. Exploring Bayesian statistics at an introductory level, Bayesian Biostatistics and Diagnostic Medicine illustrates how to apply these methods to solve important problems in medicine and biology. After focusing on the wide range of areas where diagnostic medicine is used, the book introduces Bayesian statistics and the estimation of accuracy by sensitivity, specificity, and positive and negative predictive values for ordinal and continuous diagnostic measurements. The author then discusses patient covariate information and the statistical methods for estimating the agreement among observers. The book also explains the protocol review process for cancer clinical trials, how tumor responses are categorized, how to use WHO and RECIST criteria, and how Bayesian sequential methods are employed to monitor trials and estimate sample sizes. With many tables and figures, this book enables readers to conduct a Bayesian analysis for a large variety of interesting and practical biomedical problems.

Quality and Safety in Radiology Book

Quality and Safety in Radiology


  • Author : Hani H. Abujudeh
  • Publisher : OUP USA
  • Release Date : 2012-03-08
  • Genre: Medical
  • Pages : 354
  • ISBN 10 : 9780199735754
  • Total Read : 71
  • File Size : 12,6 Mb

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Quality and Safety in Radiology Summary:

Radiology has been transformed by new imaging advances and a greater demand for imaging, along with a much lower tolerance for error as part of the Quality & Safety revolution in healthcare. With a greater emphasis on patient safety and quality in imaging practice, imaging specialists are increasingly charged with ensuring patient safety and demonstrating that everything done for patients in their care meets the highest quality and safety standards. This book offers practical guidance on understanding, creating, and implementing quality management programs in Radiology. Chapters are comprehensive, detailed, and organized into three sections: Core Concepts, Management Concepts, and Educational & Special Concepts. Discussions are applicable to all practice settings: community hospitals, private practice, academic radiology, and government/military practice, as well as to those preparing for the quality and safety questions on the American Board of Radiology's "Maintenance of Certification" or initial Board Certification Examinations. Bringing together the various elements that comprise the quality and safety agenda for Radiology, this book serves as a thorough roadmap and resource for radiologists, technicians, and radiology managers and administrators.

Statistical Evaluation of Diagnostic Performance Book

Statistical Evaluation of Diagnostic Performance


  • Author : Kelly H. Zou
  • Publisher : CRC Press
  • Release Date : 2016-04-19
  • Genre: Mathematics
  • Pages : 245
  • ISBN 10 : 9781439812235
  • Total Read : 88
  • File Size : 16,9 Mb

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Statistical Evaluation of Diagnostic Performance Summary:

Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are relevant to a wide variety of applications, including medical imaging, cancer research, epidemiology, and bioinformatics. Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis covers areas including monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC (FROC) methodology. The book is suitable for graduate-level students and researchers in statistics, biostatistics, epidemiology, public health, biomedical engineering, radiology, medical imaging, biomedical informatics, and other closely related fields. Additionally, clinical researchers and practicing statisticians in academia, industry, and government could benefit from the presentation of such important and yet frequently overlooked topics.

Biostatistics for Radiologists  2009   Book

Biostatistics for Radiologists 2009


  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2022-10-02
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : OCLC:785029607
  • Total Read : 91
  • File Size : 20,8 Mb

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Biostatistics for Radiologists 2009 Summary:

Non Interpretive Skills for Radiology  Case Review E Book Book

Non Interpretive Skills for Radiology Case Review E Book


  • Author : David M. Yousem
  • Publisher : Elsevier Health Sciences
  • Release Date : 2016-09-14
  • Genre: Medical
  • Pages : 208
  • ISBN 10 : 9780323473743
  • Total Read : 66
  • File Size : 18,8 Mb

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Non Interpretive Skills for Radiology Case Review E Book Summary:

The only review book of its kind, David M. Yousem’s Non-Interpretive Skills prepares you for exam questions on every aspect of radiology that does not involve reading and interpreting images: communication, quality and safety, ethics, leadership, data management, business principles, analytics, statistics, and more. Ideal for residents and practitioners alike, this unique study tool contains hundreds of questions, answers, and rationales that cover the entire range of NIS content on the credentialing boards and MOC exams. Your exam preparation isn’t complete without it! Exclusive test preparation on every NIS area, including business, ethics, safety, quality improvement, resuscitation techniques, and medications used by radiologists. 600 multiple-choice questions with answers and rationales provide a practical and solid foundation for exams and clinical practice. Author David M. Yousem, MD, MBA and his colleagues at the Johns Hopkins Department of Radiology share years of expertise in radiology education, quality assurance, and business topics. A single, easy-to-use source for thorough review of the NIS topics you’ll encounter on exams and in your radiology practice.

Handbook of Neuroimaging Data Analysis Book

Handbook of Neuroimaging Data Analysis


  • Author : Hernando Ombao
  • Publisher : CRC Press
  • Release Date : 2016-11-18
  • Genre: Mathematics
  • Pages : 662
  • ISBN 10 : 9781482220988
  • Total Read : 66
  • File Size : 13,8 Mb

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Handbook of Neuroimaging Data Analysis Summary:

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.