Translational Cardiology: Handbook for Designing and Conducting Clinical and Translational Research
Editat de Jeffrey A. Bakal, Michael Gibson, Adam E.M. Eltoraien Limba Engleză Paperback – 20 ian 2025
- Focuses on translational cardiovascular research, covering the principles of evidence-based medicine and applies these principles to the design of translational investigations
- Provides a practical, straightforward approach that will help aspiring cardiovascular researchers navigate challenging considerations in study design and implementation
- Details valuable discussions of the critical appraisal of published studies in cardiology, 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
Preț: 751.01 lei
Preț vechi: 971.82 lei
-23% Nou
Puncte Express: 1127
Preț estimativ în valută:
143.77€ • 150.01$ • 120.52£
143.77€ • 150.01$ • 120.52£
Carte tipărită la comandă
Livrare economică 06-20 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780323917902
ISBN-10: 0323917909
Pagini: 618
Dimensiuni: 216 x 276 mm
Editura: ELSEVIER SCIENCE
Seria Handbook for Designing and Conducting Clinical and Translational Research
ISBN-10: 0323917909
Pagini: 618
Dimensiuni: 216 x 276 mm
Editura: ELSEVIER SCIENCE
Seria Handbook for Designing and Conducting Clinical and Translational Research
Cuprins
Section 1. INTRODUCTION
1. Introduction; 2. Translational Process; 3. Scientific Method; 4. Basic Research
Section 2: PRE-CLINCIAL: DISCOVERY & DEVELOPMENT
5. Overview of Preclinical Research; 6. What problem are you Solving?; 7. Types of Structural Interventions; 8. Drug discovery; 9. Drug Testing; 10. Device Testing; 11. Diagnostic Discovery; 12. Diagnostic Testing; 13. Other product types; 14. Procedural Technique Development; 15. Behavioral Intervention
Section 3: CLINICAL: FUNDAMENTALS
16. Introduction to clinical research: What is it? Why is it needed?; 17. The question: Types of research questions and how to develop them; 18. Study population: Who and why them?; 19. Outcome measurements: What data is being collected and why?; 20. Optimizing the Question: Balancing Significance and Feasibility
Section 4: STATISTICAL PRINCIPLES
21. Common issues in analysis; 22. Basic statistical principles; 23. Distributions; 24. Hypotheses and error types; 25. Power; 26. Regression; 27. Continuous Variable Analyses: Student's t-test, Mann-Whitney U Test, Wilcoxon Signed-Rank Test; 28. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel; 29. Analysis of variance; 30. Correlation; 31. Biases; 32. Basic science statistics; 33. Sample Size; 34. Statistical Software
Section 5: CLINICAL: STUDY TYPES
35. Design principles: Hierarchy of study types; 36. Case series: Design, measures, classic example; 37. Case-control study: Design, measures, classic example; 38. Cohort study: Design, measures, classic example; 39. Cross-section study: Design, measures, classic example; 40. Longitudinal Study: Design, Measures, Classic Example; 41. Meta-analysis: Design, measures, classic example; 42. Cost-effectiveness study: Design, measures, classic example; 43. Diagnostic test evaluation: Design, measures, classic example; 44. Reliability study: Design, measures, classic example; 45. Database studies: Design, measures, classic example; 46. Surveys and questionnaires: Design, measures, classic example; 47. Qualitative methods and mixed methods
Section 6: CLINICAL TRIALS
48. Randomized control: Design, measures, classic example; 49. Nonrandomized control: Design, measures, classic example; 50. Historical control: Design, measures, classic example; 51. Cross-over: Design, measures, classic example; 52. Withdrawal studies: Design, measures, classic example; 53. Factorial design: Design, measures, classic example; 54. Group allocation: Design, measures, classic example; 55. Hybrid design: Design, measures, classic example; 56. Large, pragmatic: Design, measures, classic example; 57. Equivalence and noninferiority: Design, measures, classic example; 58. Adaptive: Design, measures, classic example; 59. Blinding: Who and how?; 60. Phases of Clinical Trials; 61. IDEAL Framework
Section 7: CLINICAL: PREPARATION
62. Patient Perspectives; 63. Budgeting; 64. Ethics and review boards; 65. Regulatory considerations for new drugs and devices; 66. Funding approaches; 67. Conflicts of Interest; 68. Subject recruitment; 69. Data management; 70. Quality control; 71. Research in Acute Settings; 72. Special Populations; 73. Report forms: Harm and Quality of Life; 74. Subject adherence; 75. Survival analysis; 76. Monitoring committee in clinical trials
Section 8: REGULATORY BASICS
77. FDA overview; 78. IND/New Drug Application; 79. Radiation-Emitting Electronic Products; 80. Orphan Drugs; 81. Combination Products; 82. CMC and GxP; 83. Non-US Regulatory; 84. Post-Market Drug Safety Monitoring; 85. Post-Market Device Safety Monitoring
Section 9: CLINICAL IMPLEMENTATION
86. Implementation Research; 87. Design and Analysis; 88. Mixed-Methods Research; 89. Population- and Setting-Specific Implementation; 90. Guideline Development
Section 10: PUBLIC HEALTH
91. Public Health; 92. Epidemiology; 93. Factors; 94. Good Questions; 95. Population- and Environmental-Specific Considerations; 96. Law, Policy, and Ethics; 97. Healthcare Institutions and Systems; 98. Public Health Institutions and Systems
Section 11: PRACTICAL RESOURCES
99. Presenting Data; 100. Manuscript Preparation; 101. Promoting Research; 102. Quality Improvement; 103. Team Science and Building a Team; 104. Patent Basics; 105. SBIR/STTR
1. Introduction; 2. Translational Process; 3. Scientific Method; 4. Basic Research
Section 2: PRE-CLINCIAL: DISCOVERY & DEVELOPMENT
5. Overview of Preclinical Research; 6. What problem are you Solving?; 7. Types of Structural Interventions; 8. Drug discovery; 9. Drug Testing; 10. Device Testing; 11. Diagnostic Discovery; 12. Diagnostic Testing; 13. Other product types; 14. Procedural Technique Development; 15. Behavioral Intervention
Section 3: CLINICAL: FUNDAMENTALS
16. Introduction to clinical research: What is it? Why is it needed?; 17. The question: Types of research questions and how to develop them; 18. Study population: Who and why them?; 19. Outcome measurements: What data is being collected and why?; 20. Optimizing the Question: Balancing Significance and Feasibility
Section 4: STATISTICAL PRINCIPLES
21. Common issues in analysis; 22. Basic statistical principles; 23. Distributions; 24. Hypotheses and error types; 25. Power; 26. Regression; 27. Continuous Variable Analyses: Student's t-test, Mann-Whitney U Test, Wilcoxon Signed-Rank Test; 28. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel; 29. Analysis of variance; 30. Correlation; 31. Biases; 32. Basic science statistics; 33. Sample Size; 34. Statistical Software
Section 5: CLINICAL: STUDY TYPES
35. Design principles: Hierarchy of study types; 36. Case series: Design, measures, classic example; 37. Case-control study: Design, measures, classic example; 38. Cohort study: Design, measures, classic example; 39. Cross-section study: Design, measures, classic example; 40. Longitudinal Study: Design, Measures, Classic Example; 41. Meta-analysis: Design, measures, classic example; 42. Cost-effectiveness study: Design, measures, classic example; 43. Diagnostic test evaluation: Design, measures, classic example; 44. Reliability study: Design, measures, classic example; 45. Database studies: Design, measures, classic example; 46. Surveys and questionnaires: Design, measures, classic example; 47. Qualitative methods and mixed methods
Section 6: CLINICAL TRIALS
48. Randomized control: Design, measures, classic example; 49. Nonrandomized control: Design, measures, classic example; 50. Historical control: Design, measures, classic example; 51. Cross-over: Design, measures, classic example; 52. Withdrawal studies: Design, measures, classic example; 53. Factorial design: Design, measures, classic example; 54. Group allocation: Design, measures, classic example; 55. Hybrid design: Design, measures, classic example; 56. Large, pragmatic: Design, measures, classic example; 57. Equivalence and noninferiority: Design, measures, classic example; 58. Adaptive: Design, measures, classic example; 59. Blinding: Who and how?; 60. Phases of Clinical Trials; 61. IDEAL Framework
Section 7: CLINICAL: PREPARATION
62. Patient Perspectives; 63. Budgeting; 64. Ethics and review boards; 65. Regulatory considerations for new drugs and devices; 66. Funding approaches; 67. Conflicts of Interest; 68. Subject recruitment; 69. Data management; 70. Quality control; 71. Research in Acute Settings; 72. Special Populations; 73. Report forms: Harm and Quality of Life; 74. Subject adherence; 75. Survival analysis; 76. Monitoring committee in clinical trials
Section 8: REGULATORY BASICS
77. FDA overview; 78. IND/New Drug Application; 79. Radiation-Emitting Electronic Products; 80. Orphan Drugs; 81. Combination Products; 82. CMC and GxP; 83. Non-US Regulatory; 84. Post-Market Drug Safety Monitoring; 85. Post-Market Device Safety Monitoring
Section 9: CLINICAL IMPLEMENTATION
86. Implementation Research; 87. Design and Analysis; 88. Mixed-Methods Research; 89. Population- and Setting-Specific Implementation; 90. Guideline Development
Section 10: PUBLIC HEALTH
91. Public Health; 92. Epidemiology; 93. Factors; 94. Good Questions; 95. Population- and Environmental-Specific Considerations; 96. Law, Policy, and Ethics; 97. Healthcare Institutions and Systems; 98. Public Health Institutions and Systems
Section 11: PRACTICAL RESOURCES
99. Presenting Data; 100. Manuscript Preparation; 101. Promoting Research; 102. Quality Improvement; 103. Team Science and Building a Team; 104. Patent Basics; 105. SBIR/STTR