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Studying missingness in spinal cord injury data: Challenges and impact of data imputation

👩‍🔬 👨‍🔬 Authors:
Lucie Bourguignon, Louis P. Lukas, James D. Guest, Fred Geisler, Vanessa Noonan, Armin Curt, Sarah C. Brüningk, Catherine R. Jutzeler

📝 Short summary: Spinal cord injury (SCI) research has gathered extensive data, but analysis methods rely on complete data, posing challenges when dealing with missingness. Researchers commonly exclude patients with missing data or use imputation methods. This study aimed to understand how handling missing data in SCI registries affects reported results and provide guidelines for future research. Using Sygen clinical trial data, we analyzed the impact of missing data variables, patterns, and imputation strategies.

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📖 Link to paper: Submitted

📊 Link to data: Sygen Trial

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This study was supported by the Swiss National Science Foundation (Ambizione Grant #PZ00P3_186101, Jutzeler) and the International Foundation for Research in Paraplegia (Brüningk, Jutzeler). Sarah Brüningk is supported by the Botnar Research Centre for Child Health Postdoctoral Excellence Programme (#PEP-2021-1008). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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