Clinical Epidemiology — Measures of Frequency, Association and Impact

Public Health and Epidemiology · Clinical Bases

How it begins

An exhaustive and rigorous treatise on metric tools applied in methodological design, biostatistical inference and clinical decision making based on scientific evidence.

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 Confounding 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