Prerequisites: Biostatistics 601 and Biostatistics 651
Description: This course is designed for individuals with a strong quantitative background who are interested in the statistical design and analysis aspects of clinical trials and the interface between statistics and policy in this area
Description: This course introduces the importance of data in public health, including collection, analysis, interpretations, and dissemination. It provides examples of data used to evaluate public health decisions, policy and resource allocation. It is an introduction to biostatistical and epidemiological methods, informatics, and big data including usage, management and challenges.
Course Goals: To introduce students to the importance of data in public health, including its collection, analysis, interpretations and dissemination.
To provide examples of how data are used to evaluate and assess public health decisions, policy and resource allocation.
To introduce students to critical thinking of public health studies and media reports.
Learning Objectives: 1)Identify key strategies and methods for obtaining current public health data
2)Explain the use of basic epidemiological methods in study design and implementation to generate new data and metrics to address public health issues
3)Illustrate how analyses and results are used to inform intervention development and influence appropriate public health policies.
4)Apply statistical methods in order to describe data, make inferences and test hypotheses regarding population parameters
5)Apply results from data analyses to explore, define, identify and prioritize public health challenges and solutions