# Public Health 250B - Fall 2011

- Institution: University of California, Berkeley
- Taught by: Jennifer Ahern, Jack Colford, Vincent Yau
- Year: 2011
- Level: Undergraduate
- Language: English
- Subjects: Medicine and health
- Source: [Internet Archive](https://archive.org/details/ucberkeley_webcast_itunesu_461559467)
- Licence: [CC BY-NC-ND 3.0](http://creativecommons.org/licenses/by-nc-nd/3.0/) (Non-commercial use only, and no changed versions.)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Epidemiologic Methods II - This course is intended as an intermediate level course in the field of epidemiology. Topics include causal inference; measurement of disease rates; inferential reasoning; and research study designs including ecologic, case-control, cohort, intervention trials, and meta-analytic designs (potential sources of bias, confounding, and effect modification in each research design are explored in depth); topics in clinical epidemiology including the use of likelihood ratios, receiver operator curves, and the sensitivity, specificity, predictive value of a test; and a brief introduction to logistic regression, survival analysis, and decision analysis. The readings from this course are drawn primarily from advanced epidemiology textbooks (Kleinbuam, Rothman, Miettinen).

Epidemiologic Methods II

## Lectures

1. [Lecture 1: Basic concepts, causality](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f), 1 h 33 min (Audio)
2. [Lecture 2: Causality, measures of disease](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-2), 1 h 39 min (Audio)
3. [Lecture 3: Measures of disease](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-3), 1 h 50 min (Audio)
4. [Lecture 4: Measures of association](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-4), 1 h 37 min (Audio)
5. [Lecture 5: Measures of association](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-5), 1 h 21 min (Audio)
6. [Lecture 6: Study design overview, cohort studies](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-6), 1 h 38 min (Audio)
7. [Lecture 7: Cohort studies](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-7), 45 min (Audio)
8. [Lecture 8: Trials: audio only available](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-8), 1 h 38 min (Audio)
9. [Lecture 9: Case-control](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-9), 1 h 20 min (Audio)
10. [Lecture 10: Case-control](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-10), 1 h 19 min (Audio)
11. [Lecture 11: Cross-sectional, ecological studies](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-11), 1 h 37 min (Audio)
12. [Lecture 12: Bias - information](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-12), 1 h 45 min (Audio)
13. [Lecture 13: Bias - selection](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-13), 1 h 42 min (Audio)
14. [Lecture 14: Bias - confounding](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-14), 1 h 26 min (Audio)
15. [Lecture 15: Bias - confounding, effect modification](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-15), 1 h 35 min (Audio)
16. [Lecture 16: Effect modification, matching](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-16), 1 h 28 min (Audio)
17. [Lecture 17: Matching](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-17), 1 h 40 min (Audio)
18. [Lecture 18: Screening](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-18), 1 h 24 min (Audio)
19. [Lecture 19: Statistical inference, sample size, power](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-19), 1 h 46 min (Audio)
20. [Lecture 20: Analyzing epidemiologic data](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-20), 1 h 26 min (Audio)
21. [Lecture 21: Analyzing epidemiologic data - continued](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-21), 1 h 49 min (Audio)
22. [Lecture 22: LAB - analyzing epidemiologic data](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-22), 1 h 26 min (Audio)
23. [Lecture 23: Meta analysis/systematic reviews](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-23), 1 h 22 min (Audio)
24. [Lecture 24: LAB - Meta analysis/sys review and Exam Review - No visuals for first four minutes](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-24), 1 h 46 min (Audio)
25. [Lecture 25: Course wrap-up](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461559467/5ae4f954c41f-25), 1 h 36 min (Audio)