Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine - Softcover

Suchmacher, Mendel; Geller, Mauro

 
9780323901024: Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine

Inhaltsangabe

Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator’s hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects.

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Über die Autorinnen und Autoren

Mendel Suchmacher, MD, MSc, graduated in Pharmaceutical Medicine at Federal University of the State of São Paulo, is Board Certified in Internal Medicine and Hematology-Hemotherapy and member of the American College of Physicians. He holds teaching and research positions at prestigious Brazilian institutions: Professor of Clinical Immunology at Carlos Chagas Institute of Medical Graduation; Professor & Chairman of Microbiology and Immunology, and Research Fellow at Teresopolis University Medical School - UNIFESO; Professor & Coordinator of the Genodermatoses Sector of the Clinical Genetics Service at Federal University of Rio de Janeiro. Additionally, he is member of the clinical staff of Hospital Israelita Albert Einstein.

Mauro Geller, MD, PhD, holds an MD degree from Teresopolis University Medical School, a PhD in Clinical Medicine from Federal University of Rio de Janeiro, and a Post-doc in Immunogenetics from Harvard University. He has extensive experience in the field of clinical immunology, especially in the areas of clinical medicine, tumoral immunology, genetics and immunodiagnostics. Dr. Geller is founding member and current medical director of the Brazilian National Neurofibromatosis Center; fellow of the American College of Physicians and of the Royal Society of Medicine; member of the European Society of Gene Therapy; and member of the Brazilian Societies of Immunology, Microbiology and Genetics. He is Board Certified in Internal Medicine, Immunology, Allergy and Public Health. Dr. Geller also has extensive experience with research in the areas of immunology, microbiology and genetics, as well as with clinical research, and has published 137 papers, 8 book chapters, and 4 books. He also serves as ad hoc advisor to the Brazilian National Institute of Health (ANVISA) and is member of the clinical staff of Hospital Israelita Albert Einstein.

Von der hinteren Coverseite

Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, now in an updated second edition, presents a complete resource of biostatistical knowledge meant for health sciences students and researchers, as well as health care professionals. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making using statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards, and they can find all the relevant information to achieve their goals in this book.

The content is split into 5 sections: the investigator’s hypothesis; collective health; observational studies; biostatistics of intervention studies - the clinical trials; and additional concepts in biostatistics. The chapters are written in a didactic way to make them easier to comprehend by readers with little or no background on statistics.

With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or a hands-on guide to effectively incorporate biostatistics in clinical trials and research projects.

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