Paul Eilers

Paul Eilers is a researcher in the Epidemiology department at Erasmus MC, with extensive contributions to statistical methodology and biomedical applications. His work spans survival analysis, computational statistics, and signal processing.

• Specializes in advanced statistical modeling with splines
• Active in medical informatics and epidemiological research
• Collaborates internationally on multidisciplinary projects

Research Interests: Develops innovative statistical techniques for complex biomedical data, focusing on:

• Spline-based smoothing algorithms
• Survival analysis with multiple time scales
• Multidimensional P-splines for neuroscience
• Deconvolution methods in NMR spectroscopy
• Computational efficiency in determinant derivatives
• Application of statistics to clinical research

Scientific Output: Demonstrates expertise in statistical modeling through 115 research outputs, including recent work on:

• Quantile regression techniques
• Semiparametric proportional hazards models
• Adaptive smoothing for neuronal activity analysis
• Modern approaches to statistical computing

Collaboration Network: Maintains active collaborations across disciplines, particularly in:

• Medical statistics applications
• Computational method development
• Chemometrics and bioinformatics
• Cross-institutional research projects