Search
School of Informatics and Computing Menu

INFO-B 518 Applied Statistical Methods for Biomedical Informatics

3 credits

Prerequisites: None

The ability to understand, analyze, and interpret biomedical data is integral to biomedicine. This course provides in- demand data analysis skills and hands-on experience in analyzing genomic, proteomic, and health data. Students solve cutting-edge biomedical problems by applying statistical methods, packages, and toolkits.

Learning Outcomes

  1. Identify and interpret massive health data with missing values.
  2. Infer and justify inferences from health data specific to diseases.
  3. Correlate massive phenotypic and genotypic data.
  4. Determine and model population, sampling, and hypothesis testing for specific diseases.
  5. Design and formulate sampling and hypothesis testing for hospital and Insurance data to evaluate the complexities.
  6. Select and generate regression analysis and other statistical analysis for precision medicine applications.
  7. Outline and formulate paper presentation.
  8. Construct and rearrange project design, writing, analysis, and presentation.
  9. Develop and revise programs to perform data analytics on large, complex datasets in R.

Course Delivery

  • On-Campus

Course Schedule

Syllabi