• Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Research and Development
  • Keywords: Data Integration across Studies, Data Processing, Product Comparison, Statistical Analysis
  • Tools: Programming, R, R Shiny, SAS, Statistical Network Meta-Analysis
  • Citizenship: Open to all students

P&G uses performance tests to compare new prototypes with products on the market. It is of interest to compare all product pairs accounting for study-to-study variability, and pooling information across products repeated in multiple studies.


Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Procter & Gamble' in the Note section, and select the appropriate CRN.