Clinical Epidemiology & Evidence-Based Medicine - Fundamental Principles of Clinical Reasoning & Research

Klappentext Clinical Epidemiology & Evidence-based Medicine is a resource for all health-care workers involved in applying evidence to the care of their patients. Using clinical examples and citing liberally from the peer-reviewed literature, the book shows how statistical principles can improve medical decisions. This work shows how probability, risk and alternatives are fundamental considerations in all clinical decisions, and demonstrates the intuitive basis for using clinical epidemiolgy as a science underlying medical decisions. This book is a useful reference tool that will assist the clinician to better access, interpret, and apply evidence to patient care as well as better understand and control the process of medical decision making. Inhaltsverzeichnis SECTION I: PRINCIPLES OF CLINICAL REASONING Of Patients & Populations: Population-Based Data in Clinical Practice Test Performance: Disease Probability, Test Interpretation & Diagnosis Quantitative Aspects of Clinical Thinking: Predictive Values and Bays¿ Theorem Fundamentals of Screening: The Art and Science of Looking for Trouble Measuring and Conveying Risk SECTION II: PRINCIPLES OF CLINICAL RESEARCH Hypothesis Testing 1: Principles Hypothesis Testing 2: Mechanics Study Design Interpreting Statistics in the Medical Literature SECTION III: FROM RESEARCH TO REASONING: THE APPLICATION OF EVIDENCE IN CLINICAL PRACTICE Decision Analysis Diagnosis Management APPENDICES

Product details

• Authors: Laura Greci, David L. Katz, Katz David L., Haq Nawaz
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Hardback
• Released: 23.10.2001
• EAN: 9780761919384
• ISBN: 978-0-7619-1938-4
• No. of pages: 320
• Subjects: Natural sciences, medicine, IT, technology > Medicine > Clinical medicine; Natural sciences, medicine, IT, technology > Medicine > Non-clinical medicine; Epidemiology & medical statistics, MEDICAL / Clinical Medicine, MEDICAL / Internal Medicine, MEDICAL / Biostatistics, MEDICAL / Epidemiology, Clinical & internal medicine, Clinical and internal medicine, Epidemiology and Medical statistics