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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