Missing Data Imputation in RWD Exploration of Multiple Techniques on Open-Source Data
Project Scope |
We aim to publish a white paper which will explore multiple models available for missing data imputation and share with the wider group the potential of each model and its efficiency in dealing with different kinds of missing data. The model efficiency will be compared using a single open-source simulated dataset. |
Project Leads | |
|---|---|
Aren Ghulijanyan, BioBrain | |
Likhita Kolli, GSK | |
Marieta Voskanyan, BioBrain | |
Tuhin James Paul, ISF College of Pharmacy | |
Sujith Mididoddi, GSK | |
Nicola Newton, PHUSE Project Coordinator |
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