The Role of Quantitative Methods in Public Health
- 4th term
- 0.5 credits
- Academic Year:
- 2019 - 2020
- Instruction Method:
- Mon 03/23/2020 - Sun 04/19/2020
Introduction to Online Learning is required prior to participating in any of the School's Internet-based courses.
Quantitative methods are crucial for helping describe and assess a population’s health, for understanding the factors that contribute to and affect public health, and for identifying and assessing interventions to improve public health.
Covers the bases for the role of quantitative methods in public health, including how to formulate scientific questions quantitatively, different types of data, properties characterizing high or poor quality of measurements, the implications of statistical uncertainty, and the difference between association and causation. Uses illustrative case examples including the opioid epidemic and aging.
- Learning Objectives:
- Use statistical reasoning to formulate public health questions in quantitative terms
- Provide examples of different types of data arising in public health studies and of characteristics describing the quality of measurements
- Interpret estimates and uncertainty for a single population quantity and for a comparison of populations
- Articulate the distinction between correlation and causation and the benefit of randomization when estimating causal effects
- Methods of Assessment:
This course is evaluated as follows:
- 20% Participation
- 40% Interim
- 40% Final
- Instructor Consent:
No consent required