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Public Health 250A: Epidemiologic Methods I

Public Health 250A: Epidemiologic Methods I (Fall 2013, UC Berkeley). Instructor: Professor Arthur L. Reingold. 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.

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Lecture 03 - Crude vs Specific and Adjusted Rates

Lecture 05 (No Image)

Lecture 06 - Cause-Specific Death Rate

Lecture 07 - Epidemiology: A Brief History

Lecture 08 - Ethical Considerations in Epidemiology

Lecture 09 - Ecological Studies

Lecture 10 - Measures of Disease Frequency

Lecture 11 - Disease over Time

Lecture 12 - Measures of Association (Effect), and Measures of Potential Impact

Lecture 13 - Measures of Potential Impact

Lecture 14 - Experimental Studies - Individual Level

Lecture 15 - Experimental Studies - Group Level Interventions

Lecture 16 - Cohort Studies

Lecture 17 - Cohort Studies (cont.)

Lecture 18 - Retrospective and Miscellaneous Types of Cohort Studies

Lecture 19 - Cross-Sectional Studies: Perchlorate and Thyroid Function

Lecture 20 - Case-Control Studies

Lecture 21 - Case-Control Studies (cont.)

Lecture 22 - Nested Case-Control, Case-Cohort, and Case-Crossover Studies

Lecture 23 - Neighborhood Studies and Multilevel Analysis

Lecture 25 - Confounding: Part 1

Lecture 26 - Confounding: Part 2

Lecture 27 - Effect Modification

Lecture 28 - Interpreting Study Results in Epidemiology, Part I

Lecture 29 - Statistical Inference, Part II

Lecture 30 - Statistical Inference, Part III

Lecture 31 - Systematic Errors and Selection Bias

Lecture 32 - Measurement and Classification

Lecture 33 - Information Bias, Consequences of Error, and Publication Bias

Lecture 34 - Causality

Lecture 35 - Causal Inference and Decision-Making

Lecture 36 - Meta-Analysis

Lecture 37 - Surveillance

Lecture 38 - Screening I

Lecture 39 - Screening II

Lecture 40 - Challenges to Epidemiology in 2013