Pocket Evidence Based Medicine

A Survival Guide for Clinicians and Students
1. Auflage 2023
ISBN: 978-3-031-19470-2
Verlag: Springer

Buch, Englisch, 221 Seiten, Format (B × H): 127 mm x 203 mm, Gewicht: 289 g

This concise, easy-to-read pocket guide offers medical trainees, researchers, and clinicians at every level the perfect resource on Evidence Based Medicine (EBM).  Based on the author’s many years of experience teaching EBM to medical students and medical residents at Columbia University, this handy title addresses not only all the basic concepts and issues in EBM, but also takes an example-based approach and is replete with numerous illustrations.  This brief book provides readers with all the tools needed to tell the good from the bad in healthcare research.  It discusses every type of study design, from the assessment of diagnostic tests to clinical trials and meta-analysis.  The work also introduces readers to novel methods, such as the Bayesian analysis of clinical trials.  In addition, to help readers better retain the information, the guide includes thought-provoking review questions and answers in an appendix.  In all, Pocket Evidence-Based Medicine: A Survival Guide for Clinicians and Students is an ideal resource for anyone who encounters statistics in their studies or career, including clinicians, researchers, trainees in medicine and graduate students in a wide range of other disciplines

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Palmas, Walter R.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik

Inhaltsverzeichnis

1.       The Most Basic Concepts in Biostatistics

2.       Assessment of Diagnostic Tests

3.       Use of a Diagnostic Test

4.       Observational Studies

5.       Commonly Used Survival Statistics

6.       Randomized Clinical Trials

7.       Non-Inferiority Clinical Trials

8.       Introduction to Bayesian Analysis of Clinical Trials

9.       Health Economics Studies

10.     Meta-Analysis

11.     Introduction to Artificial Intelligence Methods

12.     Finding the Best Evidence

13.     Ethics of Clinical Research

Über Autor(innen)

Walter R. Palmas, MDAssociate ProfessorColumbia UniversityNew York, NY USA

Dr. Palmas taught Evidence Based Medicine to medicine residents and medical students at Columbia University for many years.

He graduated magna cum laude from the University of Buenos Aires' School of Medicine, and he has a master’s degree in Biostatistics from Columbia University.

He completed cardiology training at the Hospital Italiano of Buenos Aires, and was a nuclear cardiology fellow at Cedars-Sinai Medical Center. After an internal medicine residency at St. Luke's-Roosevelt Medical Center, he practiced medicine for more than two decades at Columbia University Medical Center.

His research has ranged from nuclear cardiology and randomized clinical trials to genetic epidemiology, participating in international research efforts to better understand the genetic causes of hypertension.