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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the authors - p. xi 7. Part 1: The investigator's hypothesis - p. xii 8. Chapter 1. Investigator’s hypothesis and expression of its corresponding outcome - p. 3 9. Part 2: Collective health - p. 5 10. Chapter 2. Disease frequency measures - p. 9 11. Chapter 3. Health indicators - p. 17 12. Chapter 4. Epidemiological studies - p. 25 13. Chapter 5. Pharmacoeconomics - p. 29 14. Bibliography - p. 45 15. Part 3: Observational studies - p. 46 16. Chapter 6. Basic concepts in observational studies - p. 49 17. Chapter 7. Determination of association strength between an exposure factor and an event in observational studies - p. 53 18. Chapter 8. Increasing accuracy in observational studies - p. 65 19. Bibliography - p. 71 20. Part 4: Biostatistics of intervention studies–The clinical trials - p. 72 21. Chapter 9. The intervention studies - p. 75 22. n Estimation and n assessment of a published trial - p. 79 23. Chapter 11. Organization of variables and endpoints - p. 91 24. Chapter 12. Measures for results expression of a clinical trial - p. 95 25. Chapter 13. Determination of normality or nonnormality of data distribution - p. 107 26. Chapter 14. Hypothesis testing - p. 113 27. Chapter 15. Correlating sample data with the general population—95% confidence interval - p. 125 28. Bibliography - p. 133 29. Part 5: Additional concepts in biostatistics - p. 134 30. Chapter 16. Individual and collective benefit and risk indexes inferable from intervention studies - p. 137 31. Chapter 17. Statistical assessment of diagnostic tests for the clinic - p. 151 32. Chapter 18. Systematic reviews and meta-analyses - p. 157 33. Chapter 19. Correlation and regression - p. 165 34. Chapter 20. Per-protocol analysis and intention-to-treat analysis - p. 175 35. Bibliography - p. 179 36. Appendix: Overview of study types for human health investigation - p. 181 37. Glossary - p. 183 38. Index - p. 187
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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the authors - p. xi 7. Part 1: The investigator's hypothesis - p. xii 8. Chapter 1. Investigator’s hypothesis and expression of its corresponding outcome - p. 3 9. Part 2: Collective health - p. 5 10. Chapter 2. Disease frequency measures - p. 9 11. Chapter 3. Health indicators - p. 17 12. Chapter 4. Epidemiological studies - p. 25 13. Chapter 5. Pharmacoeconomics - p. 29 14. Bibliography - p. 45 15. Part 3: Observational studies - p. 46 16. Chapter 6. Basic concepts in observational studies - p. 49 17. Chapter 7. Determination of association strength between an exposure factor and an event in observational studies - p. 53 18. Chapter 8. Increasing accuracy in observational studies - p. 65 19. Bibliography - p. 71 20. Part 4: Biostatistics of intervention studies–The clinical trials - p. 72 21. Chapter 9. The intervention studies - p. 75 22. n Estimation and n assessment of a published trial - p. 79 23. Chapter 11. Organization of variables and endpoints - p. 91 24. Chapter 12. Measures for results expression of a clinical trial - p. 95 25. Chapter 13. Determination of normality or nonnormality of data distribution - p. 107 26. Chapter 14. Hypothesis testing - p. 113 27. Chapter 15. Correlating sample data with the general population—95% confidence interval - p. 125 28. Bibliography - p. 133 29. Part 5: Additional concepts in biostatistics - p. 134 30. Chapter 16. Individual and collective benefit and risk indexes inferable from intervention studies - p. 137 31. Chapter 17. Statistical assessment of diagnostic tests for the clinic - p. 151 32. Chapter 18. Systematic reviews and meta-analyses - p. 157 33. Chapter 19. Correlation and regression - p. 165 34. Chapter 20. Per-protocol analysis and intention-to-treat analysis - p. 175 35. Bibliography - p. 179 36. Appendix: Overview of study types for human health investigation - p. 181 37. Glossary - p. 183 38. Index - p. 187
