Pick one group and write an epidemiological report to a policymaker (a state senator) properly using all concepts in the group. You must pick one to four exposures and one to four health issues. Use them to articulate the report.
Make sure every concept is well understood by your senator (who is an expert on thrip identification in the mountains of the South of Chile) by using examples or your own very simple definitions.
Every time you use a concept add (between parentheses) the concept. Example: According to this, we should do an experimental study in which we have two randomized groups: people receiving the treatment and others just being controlled (experiment).
When I see (experiment) I will know what concept you are presenting and will evaluate whether it is properly used and adequately explained. As you see, I did not need to use the word experiment in my report. I just add it for grading purposes.
Group 1 Group 2 Group 3
- Social Determinants of Health 1. Causality 1. Association
- Migrant studies 2. Cross-sectional studies 2. Longitudinal studies
- Case study 3. Case series 3. Ecological studies
- Prevalence 4. Cumulative incidence 4. Incidence density
- Experiment 5. Randomization 5. Control group
- Intervention group 6. Intervention 6. Placebo
- Intention to Treat Analysis 7. External validity 7. Internal validity
- Blind trial 8. Double-blinind trial 8. Triple blind trial
- Risk 9. Relative risk 9. Risk ratio
- Relative difference 10. Attributable risk 10. Attributable risk percent
- Population attributable risk 11. Cohort studies 11. Case-control studies
- Inception cohort 12. Cohort attrition 12. Usual/unusual disease
- Usual/unusual exposure 13. Odds 13. Odds ratio
- Odds and probabilities 14. Sample 14. Population
- Statistical inference 15. Uncertainty 15. Variation (dispersion) of values
- Sample size 16. Standard error 16. Margin of error
- 95% confidence interval 17. Statistically significant 17. p-value
- Null hypothesis 18. Alternative hypothesis 18. Sensitivity
- Specificity 19. Negative predictive value 19. Positive predictive value
- Screening tests 20. Hill Criteria 20. Information bias
- Selection bias 21. Differential bias 21. Non-differential bias
- Recall bias 22. Lead-time bias 22. Survival bias
- Confounding 23. Effect modification 23. Bias
- Proximal risk factor 24. Distal risk factor 24. Web of causality
- Risk factor 25. Protective factor 25. No association
- Ratio 26. Difference 26. Null value
- Ecological fallacy 27. Ecological fallacy 27. Ecological fallacy