# Public Health 250A - Fall 2011 - Institution: University of California, Berkeley - Taught by: Arthur L. REINGOLD, John Colford, L. Barcellos, S Leonard Syme, Jennifer Ahern, Aubree Gordon - Year: 2011 - Level: Undergraduate - Language: English - Subjects: Medicine and health - Source: [Internet Archive](https://archive.org/details/ucberkeley_webcast_itunesu_461054798) - 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 I - Principles and methods of epidemiology: study design, selection, and definition of cases and controls; sampling, data collection, analysis, and inference. Discussion session provides an opportunity to apply methods to problem sets and to discuss issues presented in lectures. Epidemiologic Methods I ## Lectures 1. [Lecture 1](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887), 51 min (Audio) 2. [Lecture 2](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-2), 50 min (Audio) 3. [Lecture 3: Descriptive Epidemiology II: Mortality Measures and Patterns: A. Gordon](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-3), 50 min (Audio) 4. [Lecture 4: Descriptive Epidemiology III: Morbidity Measures: A. Gordon](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-4), 47 min (Audio) 5. [Lecture 5: Descriptive Epidemiology IV: Morbidity Patterns: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-5), 50 min (Audio) 6. [Lecture 6: Disease Distributions in Populations and Migrant Studies: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-6), 47 min (Audio) 7. [Lecture 7: A Brief History: M. Mujahid](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-7), 46 min (Audio) 8. [Lecture 8: Some Ethical Issues in Epidemiological Research: M. Mujahid](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-8), 53 min (Audio) 9. [Lecture 9: Hypothesis Generation and the Epidemiologic Paradigm: A. Gordon](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-9), 40 min (Audio) 10. [Lecture 10: Ecologic Studies: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-10), 49 min (Audio) 11. [Lecture 11: Overview of Study Designs and Measures of Effect: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-11), 44 min (Audio) 12. [Lecture 12: Experimental Studies I: Individual Level Interventions: A. Gordon](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-12), 51 min (Audio) 13. [Lecture 13: Experimental Studies II: Individual Level Interventions: A. Gordon](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-13), 52 min (Audio) 14. [Lecture 14: Experimental Studies III: Group Level Interventions](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-14), 50 min (Audio) 15. [Lecture 15: Genetic Factors in Disease: L. Barcellos](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-15), 52 min (Audio) 16. [Lecture 16: Cohort Studies I: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-16), 37 min (Audio) 17. [Lecture 17: Cohort Studies II: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-17), 52 min (Audio) 18. [Lecture 18: Retrospective Cohort Studies: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-18), 53 min (Audio) 19. [Lecture 19: Cross Sectional Studies: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-19), 46 min (Audio) 20. [Lecture 20: Case Control Studies I: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-20), 51 min (Audio) 21. [Lecture 21: Social Factors in Health and Disease: S.L. Syme - audio only available](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-21), 48 min (Audio) 22. [Lecture 22: Multilevel Studies: J. Ahern](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-22), 48 min (Audio) 23. [Lecture 23: Case Control Studies II: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-23), 45 min (Audio) 24. [Lecture 24: Nested Case-Control, Case-Cohort, and Case-Crossover Studies: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-24), 46 min (Audio) 25. [Lecture 25: Choice of Study Designs: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-25), 51 min (Audio) 26. [Lecture 26: Meta-Analysis: C.Steinmaus](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-26), 50 min (Audio) 27. [Lecture 27: Confounding I; A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-27), 44 min (Audio) 28. [Lecture 28: Confounding II: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-28), 37 min (Audio) 29. [Lecture 29: Effect Measure Modification: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-29), 53 min (Audio) 30. [Lecture 30: Interpreting Tests of Statistical Significance I: B. Abrams](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-30), 44 min (Audio) 31. [Lecture 31: Interpreting Tests of Statistical Significance II: B. Abrams - HOLD FOR MEDIA RELEASE](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-31), 46 min (Audio) 32. [Lecture 32: Interpreting Tests of Statistical Significance III: B. Abrams](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-32), 52 min (Audio) 33. [Lecture 33: Selection Bias: A. Gordon](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-33), 48 min (Audio) 34. [Lecture 34: Measurement of Outcomes & Exposures: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-34), 45 min (Audio) 35. [Lecture 35: Information Bias and Consequences of Error: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-35), 48 min (Audio) 36. [Lecture 36: Causal Inference I: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-36), 52 min (Audio) 37. [Lecture 37: Causal Inference II: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-37), 52 min (Audio) 38. [Lecture 38: Screening I: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-38), 49 min (Audio) 39. [Lecture 39: Screening II: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-39), 43 min (Audio) 40. [Lecture 40: Review: A. Reingold](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461054798/4645ed519887-40), 47 min (Audio)