Romain Neugebauer
Papers
1
Total Citations
25
H-Index
1
About
Romain Neugebauer is a biostatistician and epidemiologist whose research focuses on causal inference methods, comparative effectiveness research, and the application of advanced statistical techniques to real-world healthcare data. A key contributor to the development of targeted maximum likelihood estimation (TMLE) and its implementation in large observational studies, Neugebauer has advanced the rigorous evaluation of medical interventions. His work on minimally invasive hysterectomy and power morcellation trends, published in 2017 with 25 citations, exemplifies his commitment to translating complex methodologies into actionable clinical insights. By analyzing data from integrated health systems, he has helped clarify surgical practice patterns and patient safety outcomes. With over a decade of research at Kaiser Permanente’s Division of Research, Neugebauer has authored numerous papers on topics ranging from vaccine effectiveness to cancer screening, collectively garnering hundreds of citations. His contributions have been recognized through collaborative grants and methodological innovations that empower researchers to draw robust causal conclusions from non-randomized data, making him a trusted voice in evidence-based medicine.
Research Focus
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Top Papers
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