Practical Biostatistics: A Friendly Step-by-Step Approach for Evidence-based Medicine

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 INDICE: 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 - ADDITIONAL CONCEPTS IN BIOSTATISTICS 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 Self-evaluation Annotated answers Microsoft Excel 2010 Basics References Glossary Index

• ISBN: 978-0-12-415794-1
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 248
• Fecha Publicación: 14/09/2012
• Nº Volúmenes: 1
• Idioma: Inglés