Public Health: Epidemiological Method and Applied Biostatistics

Public Health and Epidemiology · Clinical Bases

How it begins

An analytical and rigorous approach to the study of the distribution and determinants of health in human populations, supported by the mathematical rigor of contemporary statistical inference.

What it covers

1. Epidemiological Method and Biostatistics
2. Fundamentals and Paradigmatic Evolution
3. · The Evolution of Epidemiological Paradigms
4. · Prevention Levels in Public Health
5. Frequency Measurements in Epidemiology
6. · Prevalence and Incidence: Mathematical Analysis
7. · Standardization of Rates (Direct and Indirect)
8. Association Measures and Potential Impact
9. · Relative Association Measures
10. · Measures of Absolute Effect and Clinical Benefit
11. · Measures of Potential Impact on Public Health
12. Descriptive and Ecological Studies
13. · Ecological or Conglomerate Studies
14. · Cross-Sectional Studies
15. Case and Control Studies
16. · Specialized Statistical Analysis
17. · Advanced Design Variants
18. Cohort Studies
19. · Classification by Temporality
20. Randomized Controlled Clinical Trials (RCTs)
21. · Development Phases of Clinical Drug Development
22. · Clinical Trial Methodology: Randomization and Blinding
23. Validity in Epidemiology: Bias and Confusion
24. · Taxonomy of Epidemiological Biases
25. · The Phenomenon of Confusion (Confounding)
26. · Statistical Strategies for Confusion Control
27. Causality Models in Medicine
28. · The Bradford Hill Criteria
29. · Rothman's Multicausal Model
30. Diagnostic Tests and Screening
31. · Intrinsic and Extrinsic Validity Metrics
32. · Likelihood Ratios
33. · ROC (Receiver Operating Characteristic) Curve Analysis
34. · Wilson and Jungner Criteria for Screening Programs
35. Epidemiological Surveillance and Outbreak Investigation
36. · Types of Epidemiological Surveillance
37. · Analysis of Epidemic Curves and Transmission Rates
38. Descriptive Biostatistics and Probability
39. · Taxonomy of Analytical Variables
40. · Measures of Central Tendency and Dispersion
41. · The Normal Probability Distribution (Gaussian)
42. Inferential Biostatistics and Hypothesis Testing
43. · Decision Metrics: Type I, Type II Error and Statistical Power
44. · Statistical Test Selection Algorithm
45. Advanced Regression, Survival and Meta-analysis
46. · Regression Models in Medicine
47. · Survival Analysis
48. · Meta-analysis Methodology
49. · Evaluation of Publication Bias (Egger and Funnel Plot)