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Last updated:
May 17, 2022
Duration:
6 months
FREE
This course includes:
6 months
Badge on Completion
Certificate of completion
6 months
Description
Fundamentals of Epidemiology I and II introduce the basic concepts of epidemiology and biostatistics as applied to public health problems. Emphasis is placed on the principles and methods of epidemiologic investigation, appropriate summaries and displays of data, and the use of classical statistical approaches to describe the health of populations. Fundamentals of Epidemiology II focuses on various epidemiologic study designs for investigating associations between risk factors and disease outcomes, culminating with criteria for causal inferences. The application of these disciplines in the areas of health services, screening, genetics, and environment policy are presented. The influence of epidemiology and biostatistics on legal and ethical issues are also discussed.
Course Objectives
After completion of this course, students will be able to apply principles of epidemiology and biostatistics to the prevention of disease and the improvement of health. In order to achieve the course objectives, the student will:- Distinguish the roles and relationships between epidemiology and biostatistics in the prevention of disease and the improvement of health.
- Compute basic descriptive statistics and explore data analytic methods.
- Demonstrate a basic understanding of epidemiologic methods and study design.
- Combine appropriate epidemiological concepts and statistical methods.
- Perform exploratory data analysis using descriptive statistics.
- Evaluate morbidity and mortality using ratios, proportions, and rates.
- Perform direct and indirect methods of adjustment of overall rates.
- Construct a clinical life table in epidemiologic studies.
- Recognize the assumptions associated with the construction of a life table.
- Calculate probabilities and conditional probabilities of health-related events.
- Calculate sensitivity, specificity, and predictive values.
- Recognize and describe the elements in the design and conduct of a randomized clinical trial, a cohort study, a case-control study, and a cross-sectional study.
- Calculate measures of association in identifying risk factors of diseases.
- Calculate a chi-square statistic to test the significance of a measure of association and interpret it using probability concepts.
- Identify biases and their consequences in published literature.
- Describe criteria for characterizing the causality of associations.
- Recognize the presence of effect modifiers.
- Explain the use of epidemiology in the genetics application.
- Explain the use of epidemiology in the evaluation of the screening process.
- Describe the impact of epidemiology on national and local policy.
- Describe the influence of epidemiology on ethical and professional issues
Textbooks
Gordis, L. (2004). Epidemiology. Third edition. Philadelphia: Elsevier Saunders. (The second edition is also acceptable.) Pagano, M. and Gauvreau, K. (2000). Principles of Biostatistics. Belmont, CA: Wadsworth.| Session | Topic | Readings |
|---|---|---|
| Module 5: Epidemiologic Study Designs | ||
| 12 | Randomized Clinical Trials (Kanchanaraksa) | Gordis: Chapters 7 & 8 |
| 13 | Cohort Studies (Kanchanaraksa) | Gordis, L (3rd Ed): Chapter 9 |
| 14 | Case-Control Studies (Kanchanaraksa) | Gordis: Chapter 10 |
| 15 | Cross-Sectional Studies (Kanchanaraksa) | Gordis: Chapter 10 (pages 173-175) |
| Module 6: Estimating Risk and Interpretation of Data from Epidemiologic Studies | ||
| 16 | Measures of Association (Kanchanaraksa) | Gordis: Chapters 11, 12, & 13 |
| 17 | Use of the Chi-Square Statistic (Diener-West) | Pagano & Gavreau: Chapter 15 (pages 342-352) |
| 18 | Bias and Confounding (Kanchanaraksa) | Gordis: Chapter 15 (pages 224-232) |
| 19 | Causal Association (Kanchanaraksa) | Gordis: Chapter 14 |
| 20 | Interaction (Kanchanaraksa) | Gordis: Chapter 15 (pages 232-238) |
| Module 7: Applying Epidemiology to Evaluation and Roles of Genetics, Public Policy and Epidemiology | ||
| 21 | Epidemiologic Methods for Evaluating Health Services (Crum) | Gordis L: Chapter 17 |
| 22 | Epidemiologic Methods for Evaluating Screening Programs (Crum) | Gordis L: Chapter 18 |
| 23 | Assessing the Roles of Genetic and Environmental Factors in Disease Causation (Coresh) | Gordis: Chapter 16 |
| 24 | Epidemiology and Policy (Ibrahim) | Gordis: Chapters 19 & 20 |
Course Curriculum
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- Lecture 12: Randomized Clinical Trials (Kanchanaraksa) 02:30:00
- Lecture 13: Cohort Studies (Kanchanaraksa) 01:20:00
- Lecture 14: Case-Control Studies (Kanchanaraksa) 02:30:00
- Lecture 15: Cross-Sectional Studies (Kanchanaraksa) 00:30:00
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- Lecture 16: Measures of Association (Kanchanaraksa) 02:00:00
- Lecture 17: Use of the Chi-Square Statistic (Diener-West) 01:40:00
- Lecture 18: Bias and Confounding (Kanchanaraksa) 02:00:00
- Lecture 19: Causal Association (Kanchanaraksa) 02:00:00
- Lecture 20: Interaction (Kanchanaraksa) 02:00:00
- Projects 2 days
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