Epidemiology — Introduction and Fundamentals

Public Health and Epidemiology · Clinical Bases

How it begins

Un compendio exhaustivo y riguroso de la ciencia de la salud de las poblaciones. Desde el análisis formal de los modelos de causalidad de Hill, Rothman y los modelos contrafácticos, hasta la deducción matemática de los parámetros bioestadísticos, el control de la confusión, sesgos sistemáticos, la teoría de cribado diagnóstico y las metodologías contemporáneas de síntesis de evidencia científica.

What it covers

1. Historical Evolution and Paradigms
2. · Fundamental Milestones in the History of Epidemiology
3. · Transition of Paradigms in Epidemiology
4. Concept of Causality in Epidemiology
5. · 1. Koch-Henle Postulates and Their Clinical Limitations
6. · 2. Bradford Hill Criteria of Causal Inference (1965)
7. · 3. Rothman Causality Model (Sufficient Cause and Component Cause)
8. · 4. Contemporary Causal Inference Models: DAGs and Counterfactual
9. Disease Frequency Measurements
10. · Definition of Epidemiological Fractions
11. · Prevalence vs. Incidence
12. Measures of Association and Effect
13. · 1. Classic Association Measures
14. · 2. Absolute Impact Measures (Clinical Trials)
15. · 3. Population Impact Measures
16. Descriptive Observational Designs
17. · Systemic Classification of Descriptive Studies
18. Observational Analytical Designs
19. · 1. Cohort Studies
20. · 2. Case and Control Studies
21. · 3. Advanced Hybrid Variations
22. Experimental Intervention Designs
23. · 1. The Randomized Controlled Clinical Trial (RCT)
24. · 2. Design Structures in ECCAs
25. · 3. Analysis by Intention to Treat (ITT) vs. By Protocol (PP)
26. Validity and Systematic Biases
27. · 1. Selection Biases
28. · 2. Information or Classification Biases
29. Confusion and Effect Modification
30. · 1. Formal Criteria of a Confounding Variable
31. · 2. Confusion Control Strategies
32. · 3. Effect Modification (Interaction)
33. Diagnostic and Screening Tests
34. · 1. Classic Contingency Matrix $2 \times 2$
35. · 2. Intrinsic Validity and Clinical Performance Parameters
36. · 3. Likelihood Ratios (Likelihood Ratios — LR)
37. · 4. ROC (Receiver Operating Characteristic) Curves
38. Epidemiological Surveillance and Outbreaks
39. · 1. Types of Surveillance Systems
40. · 2. Methodological Sequence of an Outbreak Investigation
41. Precision, Hypothesis and Random Error
42. · 1. Hypothesis Testing and Decision Errors
43. · 2. The P-value and Confidence Intervals
44. Reviews, Meta-analysis and EBM
45. · 1. Systematic Reviews vs. Narrative Reviews
46. · 2. Fundamental Concepts of Metaanalysis
47. Practical Cases and Expert Calculations
48. · Case 1: Oncology and Confusion Adjustment Cohort
49. · Case 2: Cases and Controls in Rare Autoimmune Disease
50. · Case 3: Food Toxifection Outbreak Investigation
51. · Case 4: Bayesian Evaluation of the Population Screening Program