ISBN13: | 9780128214268 |
ISBN10: | 01282142611 |
Kötéstípus: | Puhakötés |
Terjedelem: | 308 oldal |
Méret: | 276x215 mm |
Nyelv: | angol |
700 |
Translational Gastroenterology
EUR 143.00
Kattintson ide a feliratkozáshoz
The book provides valuable discussions of the critical appraisal of published studies in gastroenterology, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all types of evidence in patient care. In short, this practical guidebook will be of interest to every medical researcher or gastroenterologist who has ever had a good clinical idea but not the knowledge of how to test it.
PART I: CONCEPT 1. Introduction to clinical research 2. The question 3. Study population 4. Outcome measurements PART II: STUDY TYPES 5. Design principles 6. Case series 7. Case-control study 8. Cohort study 9. Cross-section study 10. Clinical trials 11. Meta-analysis 12. Cost-effectiveness study 13. Diagnostic test evaluation 14. Reliability study 15. Database studies 16. Surveys and questionnaires 17. Qualitative methods and mixed methods?Definition of the study type PART III: CLINICAL TRIALS 17. Randomized control 18. Nonrandomized control 19. Historical control 20. Cross-over 21. Withdrawal studies 22. Factorial design 23. Group allocation 24. Hybrid design 25. Large, pragmatic 26. Equivalence and noninferiority 27. Adaptive 28. Randomization 30. Multicenter considerations?Study design and practical considerations PART IV: PLANNING 31. Optimizing the question 32. Meaningful outcome measurements? 33. Sample size?Power analysis 34. Budgeting?Funding, timeline, personnel, materials 35. Ethics and review boards? 36. Regulatory considerations for new drugs and devices? 37. Funding approaches? 38. Research team? 39. Subject recruitment? 40. Data management? 41. Quality control? 42. Report forms 43. Subject adherence? 44. Survival analysis? 45. Monitoring committee in clinical trials PART V: STATISTICAL PRINCIPLES 46. Presenting data? 47. Common issues in analysis? 48. Basic statistical principles? 49. Distributions?Description, examples, implications in analysis. 50. Hypotheses and error types? 51. Power?Detecting effects 52. Regression?Explanation 53. t-test?Explanation 54. Chi-square?Explanation 55. Analysis of variance?Explanation 56. Correlation?Explanation 57. Biases?