Epidemiology: Study Designs — Advanced Methodology and Biostatistics

Public Health and Epidemiology · Clinical Bases

How it begins

Un análisis exhaustivo y matemáticamente riguroso de la arquitectura metodológica en investigación epidemiológica. Del reporte descriptivo al ensayo clínico aleatorizado y los modelos de aleatorización mendeliana.

What it covers

1. Fundamentals of Methodology and Causal Inference
2. · 1.1 Historical Evolution of Research Designs
3. · 1.2 Causal Models: Triad, Rothman and Bradford Hill Criteria
4. · 1.3 Methodological Axes of Classification
5. Descriptive and Ecological Studies
6. · 2.1 Reports and Clinical Case Series
7. · 2.2 Ecological or Correlation Studies
8. · 2.3 The Phenomenon of the Ecological Fallacy
9. Cross-Sectional Studies
10. · 3.1 Methodological Architecture and Sampling Strategies
11. · 3.2 Measures of Association: Prevalence Ratio (PR) and Prevalence Odds Ratio (by)
12. · 3.3 Neyman Bias (Prevalence-Incidence), Length and Temporal Ambiguity
13. Case and Control Studies
14. · 4.1 Methodological Selection of Cases and Controls
15. · 4.2 The Matching Process and the Overlap Phenomenon
16. · 4.3 Mathematical Demonstration of the Odds Ratio as an Estimator of Relative Risk
17. · 4.4 Advanced Methodological Variants
18. Cohort Studies
19. · 5.1 Temporal Taxonomy of Cohorts
20. · 5.2 Frequency Quantification: Cumulative Incidence and Incidence Rate
21. · 5.3 Association Measures and Population Impact
22. · 5.4 The Challenge of Tracking Losses (Attrition Bias)
23. Randomized Clinical Trials
24. · 6.1 Randomization and Masking Methodology
25. · 6.2 Design Variations: Parallel, Crossover and Factorial
26. · 6.3 Analysis Paradigms: Intention to Treat (ITT) versus Per Protocol (PP)
27. · 6.4 Ethics and Integrity in Clinical Research
28. Quasi-Experimental Designs
29. · 7.1 Analysis of Interrupted Time Series (ITS)
30. · 7.2 Regression Discontinuity Design (RDD)
31. · 7.3 Difference in Differences (DiD) Methodology
32. Modern and Advanced Epidemiological Designs
33. · 8.1 Mendelian Randomization
34. · 8.2 Real Life Evidence (RWE) and Real Life Data (RWD)
35. Systematic Reviews and Meta-Analysis
36. · 9.1 PRISMA Search and Declaration Methodology
37. · 9.2 Mathematical Models: Fixed Effects vs. Random Effects
38. · 9.3 Evaluation and Quantification of Heterogeneity
39. · 9.4 Publication Bias: Funnel Plot, Egger Test and Trim-and-Fill
40. · 9.5 Network Meta-Analysis
41. Systematic Errors, Confusion and Interaction
42. · 10.1 Taxonomy of Biases in Epidemiology
43. · 10.2 Control of Confounding Variables
44. · 10.3 Biological Interaction and Effect Modification
45. Reporting and Scientific Rigor Guides