In this class, we will discuss four methods that answer basic statistical questions without making distribution assumptions, and use properties such as exchangeability and invariance instead. Since these methods do not require specific models, they are often more robust and adaptable to complex data generating processes. The four methods we will cover are permutation test, bootstrap confidence interval, knockoffs selection and conformal prediction. They are widely used to compare distributions, construct confidence intervals, perform variable selections and compute prediction intervals.

The public health community - individuals and organizations - have an important role to play in shaping how populations receive and gain access to accurate health information. The Center for Disease Control and Prevention defines health communication as "the and use of communication strategies to inform and influence individual and community decisions that enhance health." This class will provide an introduction to the issues and methods associated with effective communication of health related information. Fulfills Junior Year Writing requirement.