Translational Interventional Radiology

Translational Interventional Radiology

Eltorai, Adam E. M.
Liu, Haitao
Chand, Rajat
Kalva, Sanjeeva P

149,76 €(IVA inc.)

Translational Research Radiology covers the principles of evidence-based medicine, applying them to the design of translational investigations. The book's readers will fully understand important concepts including case-control study, prospective cohort study, randomized trial and reliability study. Medical researchers will benefit from greater confidence in their ability to initiate and execute their own investigations, avoid common pitfalls in interventional radiology, and know what is needed in collaboration. Further, this title is indispensable for grant writing and funding efforts for Medical Researchers or Interventional Radiologists who have had clinical idea but no knowledge on how to test them. The practical, straightforward approach helps the aspiring investigator navigate challenging considerations in study design and implementation. It provides valuable discussions of the critical appraisal of published studies in interventional radiology, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all types of evidence in patient care. Focuses on the principles of evidence-based medicine and applies these principles to the design of translational investigations within interventional radiology Provides a practical, straightforward approach that helps investigators navigate challenging considerations in study design and implementation Details discussions of the critical appraisal of published studies in interventional radiology, supporting evaluation with respect to measuring outcomes and making effective use of all types of evidence in patient care INDICE: PART I: CONCEPT Introduction to clinical research: What is it? Why is it needed? The question: Types of research questions and how to develop them Study population: Who and why them? Outcome measurements: What data is being collected and why? PART II: STUDY TYPES Design principles: Hierarchy of study types Case series: Design, measures, classic example Case-control study: Design, measures, classic example Cohort study: Design, measures, classic example Cross-section study: Design, measures, classic example Clinical trials: Design, measures, classic example Meta-analysis: Design, measures, classic example Cost-effectiveness study: Design, measures, classic example Diagnostic test evaluation: Design, measures, classic example Reliability study: Design, measures, classic example Database studies: Design, measures, classic example Surveys and questionnaires: Design, measures, classic example Qualitative methods and mixed methods PART III: CLINICAL TRIALS Randomized control: Design, measures, classic example Nonrandomized control: Design, measures, classic example Historical control: Design, measures, classic example Cross-over: Design, measures, classic example Withdrawal studies: Design, measures, classic example Factorial design: Design, measures, classic example Group allocation: Design, measures, classic example Hybrid design: Design, measures, classic example Large, pragmatic: Design, measures, classic example Equivalence and noninferiority: Design, measures, classic example Adaptive: Design, measures, classic example Randomization: Fixed or adaptive procedures Blinding: Who and how? Multicenter considerations PART IV: PLANNING Optimizing the question: Balancing significance and feasibility Meaningful outcome measurements Sample size Budgeting Ethics and review boards Regulatory considerations for new drugs and devices Funding approaches Research team Subject recruitment Data management Quality control Report forms: Harm and Quality of Life Subject adherence Survival analysis Monitoring committee in clinical trials PART V: STATISTICAL PRINCIPLES Presenting data Common issues in analysis Basic statistical principles Distributions Hypotheses and error types Power Regression t-test Chi-square Analysis of variance Correlation Biases

  • ISBN: 978-0-12-823026-8
  • Editorial: Academic Press
  • Encuadernacion: Rústica
  • Páginas: 308
  • Fecha Publicación: 01/02/2023
  • Nº Volúmenes: 1
  • Idioma: Inglés