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

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. Explains biostatistics in a didactic way for students, researchers and professionals of health sciences with little or no background on mathematics, tailored for their specific needsPresents a new section dedicated to epidemiology and public health, broadening the content from the previous editionWritten by medical doctors with vast experience on biostatistics and teaching, developing the content based on real cases for better applicability by readers INDICE: Part 1: The Investigator's Hypothesis 1. Investigator's Hypothesis and Expression of its Corresponding Outcome Part 2: Collective Health 2. Disease Frequency Measures 3. Health Indicators 4. Epidemiological Studies 5. Pharmacoeconomics Part 3: Observational Studies 6. Basic Concepts in Observational Studies 7. Determination of Association Strength Between an Exposure Factor and an Event in Observational Studies 8. Increasing Accuracy in Observational Studies Part 4: Biostatistics of Intervention Studies - The Clinical Trials 9. The Intervention Studies 10. N Estimation and N Assessment of a Published Trial 11. Organization of Variables and Endpoints 12. Measures for Results Expression of a Clinical Trial 13. Determination of Normality or Non-Normality of Data Distribution 14. Hypothesis Testing 15. Correlating Sample Data with the General Population - 95% Confidence Interval Summarizing the Steps Part 5: Additional Concepts in Biostatistics 16. Individual and Collective Benefit and Risk Indexes Inferable from Intervention Studies 17. Statistical Assessment of Diagnostic Tests for the Clinic 18. Systematic Reviews and Meta-Analyses 19. Correlation and Regression 20. Per Protocol Analysis and Intention-to-Treat Analysis

• ISBN: 978-0-323-90102-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 320
• Fecha Publicación: 01/04/2021
• Nº Volúmenes: 1
• Idioma: Inglés