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Statistical Considerations with the Patient in Mind
Session Chair(s)
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.
Speaker(s)
Predicting Patient-Reported Outcomes After Hip and Knee Replacement Surgeries: Examples in Super Learning
Maciej Maruszczak, MSC
Parexel, United Kingdom
Consultant in Data Analytics and Machine Learning
Implications of Using Recurrent Episodes: Statistical Considerations in a Rare Disease Setting
Hengrui Sun, DrPH, MD
FDA, United States
Statistician, OB, OTS, CDER
Generalized Pairwise Comparisons: Paving the Way Towards Personalized Medicine
Vaiva Deltuvaite-Thomas, MS
IDDI, Belgium
Research Statistician