Practical Biostatistics

• ID: 2237737
• Book
• 248 Pages
• Elsevier Science and Technology
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Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses 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. Practical Biostatistics provides researchers, medical professionals, and students with a friendly, practical guide to biostatistics. 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.
• Customized presentation for biological investigators with examples taken from current clinical trials in multiple disciplines
• Clear and concise definitions and examples provide a pragmatic guide to bring clarity to the applications of statistics in improving human health
• Addresses the challenge of assimilation of mathematical concepts to better interpret literature, to build stronger studies, to present research effectively, and to improve communication with supporting biostatisticians
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PART 1
STUDY TYPE DETERMINATION
1. Epidemiological studies 2. Analytical studies 3. Summary

PART 2
OBSERVATIONAL STUDIES
4. Determination of association strength between an exposure factor and an event in observational studies 5. Increasing accuracy in observational studies

PART 3
STEP-BY-STEP BIOSTATISTICS OF A CLINICAL TRIAL
6. STEP 1: Investigator's hypothesis and expression of its corresponding outcome 7. STEP 2: n estimation and n assessment of a published trial 8. STEP 3: Organization of variables and endpoints 9. STEP 4: Measures for results expression of a clinical trial 10. STEP 5: Determination of normality or non-normality of data distribution 11. STEP 6: Hypothesis testing 12. STEP 7: Correlating sample data with the general population
95% confidence Interval

PART 4
13. Individual and collective benefit and risk indexes inferable from intervention cohort studies 14. Statistical assessment of diagnostic tests for the clinic 15. Systematic reviews and meta-analyses 16. Correlation and regression 17. Per protocol analysis and intention to treat analysis

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Suchmacher, Mendel
* Board Certification in Internal Medicine and Hematology-Hemotherapy

* Clinical Research Dpt. (Gross Pharmaceuticals)

* Member of the American College of Physicians

* Professor of Clinical Immunology - Carlos Chagas Institute of Medical Post-graduation (Rio de Janeiro) - Brazil

* Professor of Microbiology and Immunology at Teresopolis University Medical School (Rio de Janeiro State)

* Research Fellow - Fundacao Educacional Serra dos Orgaos (Rio de Janeiro)
Geller, Mauro
* Professor & Chairman of Immunology & Microbiology - Teresópolis Medical School (Centro Universitário Serra dos Órgãos - UNIFESO. Rio de Janeiro, Brazil)

* Professor & Coordinator of the Genodermatoses Sector of the Clinical Genetics Service (Instituto de Puericultura e Pediatria Martagão Gesteira - UFRJ. Rio de Janeiro, Brazil)

* Professor and Chairman of Clinical Immunology (Instituto de Pós-Graduação Médica Carlos Chagas. Rio de Janeiro, Brazil)

* Member of the clinical staff of Hospital Israelita Albert Einstein (HIAE - São Paulo, Brasil)

Mauro Geller MD, PhD holds an MD degree from Teresopolis University Medical School, a PhD in Clinical Medicine from Universidade Federal do Rio de Janeiro, and a Post-PhD in Immunogentics from Harvard University. He has extensive experience in the area of clinical immunology, especially in the areas of clinical medicine, tumoral immunology, genetics and immunodiagnostics. Dr. Geller is a founding member of the Brazilian National Neurofibromatosis Center (Centro Nacional de Neurofibromatose - CNNF), where he also serves as Scientific Director. He is a two-time recipient of the Moção de Louvor of the Assembléia Legislativa do Estado do Rio de Janeiro; in 1994 he received the Título de Benmerito do Estado do Rio de Janeiro, and he has received several awards of recognition from UNIFESO, from both the faculty and students. In 1996, he was awarded the Public Service Award from the National Neurofibromatosis Foundation and in 1997 he was named Honorary Chairperson of the same institution. IN 2006, he received the Prêmio de Incentivo Científico Hilton souchois from the Brazilian Society of Odontology. He 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 an ad hoc advisor to the Brazilian National Institute of Health (ANVISA).

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