Translational Gastroenterology: Handbook for Designing and Conducting Clinical and Translational Research
Editat de Adam E.M. Eltorai, Tao Liu, Devendra Mehta, Karoly Horvathen Limba Engleză Paperback – apr 2025
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.
- Provides a clear process for understanding, designing, executing, and analyzing translational and clinical research
- Presents practical and step-by-step guidance to help readers take ideas from the lab to the bedside
- Written by a team of experts who cover the breadth of translational research in Gastroenterology
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Specificații
ISBN-13: 9780128214268
ISBN-10: 0128214260
Pagini: 308
Dimensiuni: 216 x 276 mm
Editura: ELSEVIER SCIENCE
Seria Handbook for Designing and Conducting Clinical and Translational Research
ISBN-10: 0128214260
Pagini: 308
Dimensiuni: 216 x 276 mm
Editura: ELSEVIER SCIENCE
Seria Handbook for Designing and Conducting Clinical and Translational Research
Cuprins
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
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