Biostatistics 680 - Topics in Health Data Science

The course introduces advanced central topics in biostatistics and health data science including survival analysis, design and analysis of clinical trials, models for correlated data, bayesian modeling, and causal inference. The course motivates statistical reasoning and methods through substantive research questions and features of data typically available in public health and biomedical research. Students will obtain hands-on experience in applying selected methods on real data using the statistical programming language R.

BIOSTATS 690Z This course is a course where instruction is delivered across different modalities (https://www.umass.edu/flex/students). Students have the option to attend either in-person (at the Amherst campus) or online. If you choose to attend class virtually, you are required to join the Zoom meeting synchronously.