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DIA 2021 Global Annual Meeting

Statistical Considerations with the Patient in Mind

Session Chair(s)

Matt  Baldwin, MS

Matt Baldwin, MS

  • Biomedical Data Stewardship Senior Manager
  • Amgen, United States
Expand your statistical toolkit by learning some innovative approaches that will lead to improved interventions for patients.
Learning Objective : Discuss how to pave the way towards personalized medicine with generalized pairwise comparisons; Identify how to predict patient-reported outcomes after hip and knee replacement surgeries with examples in super learning; Describe the implications of using recurrent episodes in a rare disease setting.


Maciej  Maruszczak, MSc

Predicting Patient-Reported Outcomes After Hip and Knee Replacement Surgeries: Examples in Super Learning

Maciej Maruszczak, MSc

  • Consultant in Data Analytics and Machine Learning
  • Parexel, United Kingdom
Hengrui  Sun, DrPH, MD

Implications of Using Recurrent Episodes: Statistical Considerations in a Rare Disease Setting

Hengrui Sun, DrPH, MD

  • Statistician, OB, OTS, CDER
  • FDA, United States
Vaiva  Deltuvaite-Thomas, MS

Generalized Pairwise Comparisons: Paving the Way Towards Personalized Medicine

Vaiva Deltuvaite-Thomas, MS

  • Research Statistician
  • IDDI, Belgium