Creating historical data models that recognize important recruiting variables, such as:

  • Differences in enrollment rates among various countries by indication, and investigator sites
  • Variations in time for different types of site institutions to get activated 
  • Gain insight on common site activation delays and opportunity areas
  • Impact of seasonal variations and holidays on recruiting rates

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