INTRODUCTION
1. Translational Process;
2. Scientific Method;
3. Basic research
PRE-CLINICAL: DISCOVERY AND DEVELOPMENT
4. Overview of preclinical research;
5. Defining the problem to solve;
6. Types of problems;
7. Types of Interventions;
8. Drug discovery;
9. Drug safety;
10. Device discovery;
11. Device prototyping;
12. Device classification;
13. Device testing;
14. Diagnostic testing;
15. Other product types;
16. Procedural technique development;
17. Behavioral intervention
CLINICAL: FUNDAMENTALS
18. Introduction to clinical research: What is it? Why is it needed?;
19. The question: Types of research questions and how to develop them;
20. Study population: Who and why them?;
21. Outcome measurements: What data is being collected and why?;
22. Optimizing the question: Balancing significance and feasibility
STATISTICAL PRINCIPLES
23. Common issues in analysis;
24. Basic statistical principles;
25. Distributions;
26. Hypotheses and error types;
27. Power;
28. Regression;
29. t-test;
30. Chi-square;
31. Analysis of variance;
32. Correlation;
33. Biases;
34. Basic science statistics
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. Clinical trials: Design, measures, classic example;
42. Meta-analysis: Design, measures, classic example;
43. Cost-effectiveness analysis: Design, measures, classic example;
44. Diagnostic test evaluation: Design, measures, classic example;
45. Reliability study: Design, measures, classic example;
46. Surveys and questionnaires: Design, measures, classic example;
47. Qualitative methods and mixed methods
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. Large, pragmatic: Design, measures, classic example;
56. Equivalence and noninferiority: Design, measures, classic example;
57. Adaptive: Design, measures, classic example;
58. Randomization: Fixed or adaptive procedures;
59. Blinding: Who and how?;
60. Multicenter considerations;
61. Registries;
62. Phases of clinical trials;
63. IDEAL Framework;
64. Artificial Intelligence;
65. Patient perspectives
CLINICAL: PREPARATION
66. Meaningful outcome measurements;
67. Sample size;
68. Budgeting;
69. Ethics and review boards;
70. Regulatory considerations for new drugs and devices;
71. Funding approaches;
72. Subject recruitment;
73. Data management;
74. Quality control;
75. Statistical software;
76. Report forms: Harm and Quality of Life;
77. Subject adherence;
78. Monitoring committee in clinical trials
REGULATORY
79. FDA overview;
80. IND;
81. New drug application;
82. Device pathways;
83. Radiation-emitting electronic products;
84. Combination products;
85. Cosmetics;
86. CMC and GxP;
87. Non-US regulatory;
88. Post-Market Drug Safety Monitoring;
89. Post-Market Device Safety Monitoring
CLINICAL IMPLEMENTATION
90. Implementation Research;
91. Design and analysis;
92. Mixed-methods research;
93. Population- and setting-specific implementation
PUBLIC HEALTH
94. Public Health;
95. Epidemiology;
96. Good questions;
97. Population- and environmental-specific considerations;
98. Law, policy, and ethics;
99. Healthcare institutions and systems;
100. Public health institutions and systems