Clinical Epidemiology — Measures of Frequency, Association and Impact

Public Health and Epidemiology · Clinical Bases

How it begins

Un tratado exhaustivo y riguroso de las herramientas métricas aplicadas en el diseño metodológico, la inferencia bioestadística y la toma de decisiones clínicas basadas en evidencia científica.

What it covers

1. Conceptual Bases of Epidemiological Measurement
2. · Classification of Variables and Measurement Scales
3. · Population Dynamics: Closed Cohorts versus Dynamic Cohorts
4. · Mathematical Fundamentals: Ratios, Proportions and Rates
5. Disease Frequency Measurements
6. · Prevalence: Statics of Health States
7. · Incidence: Dynamics of the Transition from Health to Disease
8. Measures of Association: Measures of Ratio
9. · Relative Risk (RR)
10. · Odds Ratio (OR): Odds Ratio
11. · Hazard Ratio (HR) and Incidence Rate Ratio (IRR)
12. Measures of Association: Measures of Difference
13. · Attributable Risk in the Exposed (RAe) or Risk Difference (DR)
14. · Absolute Risk Reduction (RAR)
15. Potential Impact Measures
16. · Attributable Fraction in Exposed (FAe) or Etiological Fraction
17. · Population Attributable Risk (RAP)
18. · Population Attributable Fraction (FAP)
19. · Clinical Performance Metrics: NNT and NNH
20. Mathematical Structure of the Contingency Matrix \(2 \times 2\)
21. · Operational Derivations of the Analysis according to Design
22. Bias, Adjustments and Confusion Phenomenon
23. · Differentiating Confusion Factor from Effect Modification
24. · Stratified Fit: The Mantel-Haenszel Method
25. · Advanced Statistical Techniques for Bias Control
26. Evaluation of Diagnostic Tests
27. · Intrinsic and Extrinsic Validity Parameters
28. · Likelihood Ratios
29. Fundamentals of Survival Analysis
30. · The Survival Function and the Hazard Rate
31. Clinical Applications and Solved Cases
32. · Scenario A: Cardiovascular Cohort Study in Type 2 Diabetic Patients
33. · Scenario B: Randomized Clinical Trial in Oncology
34. · Scenario C: Case-Control Study in Neonatology