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DIA 2021 Global Annual Meeting
Statistical Considerations with the Patient in Mind
Matt Baldwin, MS
- Senior Biostatistician
- Advance Research Associates, Inc (ARA), 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.
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
Implications of Using Recurrent Episodes: Statistical Considerations in a Rare Disease Setting
Hengrui Sun, DrPH, MD
- Statistician, OB, OTS, CDER
- FDA, United States
Generalized Pairwise Comparisons: Paving the Way Towards Personalized Medicine
Vaiva Deltuvaite-Thomas, MS
- Research Statistician
- IDDI, Belgium