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Lecture Materials
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This page covers Modules 5-7 only. Modules 1-4 are available on the OCW page for Fundamentals of Epidemiology I.
Module Number 5: Epidemiologic Study Designs
> Lecture 12: Randomized Clinical Trials (Kanchanaraksa)
Distinguish between experimental and observational studies
Identify the design elements of a clinical trial
Discuss the issues in the design and conduct of a clinical trial
> Lecture 13: Cohort Studies (Kanchanaraksa)
Describe the design elements of cohort studies
Distinguish between a concurrent and a retrospective cohort study
Discuss the issues in the design and conduct of a cohort study
Discuss the biases that may affect cohort studies
Recognize a cohort study desgin when reading epidemiologic literature
Describe the concept of healthy worker effect
> Lecture 14: Case-Control Studies (Kanchanaraksa)
Describe the design elements of case-control studies
Demonstrate knowledge of the issues in the selection of subjects as cases and controls
Discuss the biases that may affect a case-control study
Explain the concepts of matching and its limitations
Differentiate between a nested case-control study and other case-control studies
> Lecture 15: Cross-Sectional Studies (Kanchanaraksa)
Describe the design elements of a cross-sectional study
Distinguish a cross-sectional study from other observational studies
Module 6: Estimating Risk and Interpretation of Data from Epidemiologic Studies
> Lecture 16: Measures of Association (Kanchanaraksa)
Define the measures of risk used in epidemiologic studies
Differentiate between relative risks, odds ratio, and attributable risks
Calculate odds ratios in matched and unmatched case-control studies
Apply appropriate risk measures in public health planning
> Lecture 17: Use of the Chi-Square Statistic (Diener-West)
Discuss the basic rationale for comparing observed counts to expected counts in a 2x2 table using a chi-square statistic
Perform a test of association between exposure and disease by calculating the chi-square statistic using the shortcut formula for a 2x2 table
Make a probability interpretation of a test of association based on the calculated value of a chi-square statistic
> Lecture 18: Bias and Confounding (Kanchanaraksa)
Apply appropriate approaches used to study disease etiology
Define bias and specify the different types of biases that may affect epidemiologic studies
Identify the consequences of the biases that may affect epidemiologic studies
Describe the strategies used to minimize the impact of bias
Identify biases in reports of epidemiologic studies
> Lecture 19: Causal Association (Kanchanaraksa)
Discuss the criteria used by epidemiologists to characterize the causality of associations
> Lecture 20: Interaction (Kanchanaraksa)
Define and distinguish interactions
Recognize examples of interactions in the literature
Module 7: Applying Epidemiology to Evaluation and Roles of Genetics, Public Policy and Epidemiology
> Lecture 21: Epidemiologic Methods for Evaluating Health Services (Crum) - Not currently available
Define commonly used terms in regard to health services and health outcomes
Describe the study designs applied in health services research
> Lecture 22: Epidemiologic Methods for Evaluating Screening Programs (Crum) - Not currently available
Describe the general principles guiding the introduction of screening program
Describe the general principles for evaluating screening programs
Define biases that may affect the apparent outcome of a screening program
Describe the principles of early detection
> Lecture 23: Assessing the Roles of Genetic and Environmental Factors in Disease Causation (Coresh) - Not currently available
Describe the types of study designs used to assess the contribution of genetic reactors to disease
Describe the concept of gene-environment interaction
> Lecture 24: Epidemiology and Policy (Ibrahim)
Describe the general mechanisms by which the findings of epidemiologic studies impact public policy
Identify the elements of risk assessment
Differentiate between the epidemiologic and the legal definition of causality
Describe the current issues related to data confidentiality and privacy
