550.694.81 Fundamentals of Epidemiology I

Department:
Term:
1st term
Credits:
3 credits
2012 - 2013
Location:
Internet
Auditors Allowed:
No
Contact:
Kanchanaraksa, Sukon
Course Instructors:
Resources:
Prerequisite:

Introduction to Online Learning is required prior to participating in any of the School's Internet-based courses.

Description:

Introduces students to the basic concepts of biostatistics and epidemiology as applied to public health problems. Emphasizes descriptive statistics, probability concepts, and methodology used in the conduct of epidemiologic studies. Topics include appropriate summary measures of morbidity and mortality, direct and indirect methods of adjustment, abridged and clinical life tables, and measures of association. Presents various epidemiologic study designs used to investigate associations between risk factors and diseases outcomes, culminating with criteria for casual inferences. Provides examples of applications of epidemiologic and biostatistical methods in health services, genetics and public policy.

Learning Objectives:

Upon successfully completing this course, students will be able to:

1. Distinguish the roles and relationships between epidemiology and biostatistics in the prevention of disease and the improvement of health
2. Compute basic descriptive statistics and explore data analytic methods
3. Demonstrate a basic Discussing of epidemiologic methods and study design
4. Combine appropriate epidemiological concepts and statistical methods
5. Perform exploratory data analysis using descriptive statistics
6. Evaluate morbidity and mortality using ratios, proportions, and rates
7. Perform direct and indirect methods of adjustment of overall rates
8. Construct life tables in epidemiologic studies
9. Recognize the assumptions associated with construction of a life table
10. Calculate probabilities and conditional probabilities of health-related events
11. Calculate sensitivity, specificity, and predictive values
12. 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
13. Calculate measures of association in identifying risk factors of diseases
14. Calculate a chi-square statistic to test the significance of a measure of association and interpret it using probability concepts
15. Identify biases and their consequences in published literature
Methods of Assessment:

Individual homework and group assignments and examinations.

Multiterm:
Enrollment Restriction:

No auditors permitted.

Instructor Consent:

Consent required for some students

Consent Note:

Special student-limited or regular requires instructor consent.

For consent, contact:

skanchan@jhsph.edu

Jointly Offered With: