Professor Jeanine Houwing-Duistermaat
- Position: Chair in Data Analytics and Statistics
- Areas of expertise: Family data; NGS and Omics data; data from electronic patient records; random effects models; outcome dependent sampling; survival analysis
- Email: J.Duistermaat@leeds.ac.uk
- Phone: +44(0)113 343 9821
- Website: Personal home page | IMforFUTURE | Googlescholar
Research in life and social sciences is data-driven. Data - if correctly analysed - provide insight in processes underlying health and disease. Data are big, noisy and incomplete. And data-sampling is complex. Research in statistical methods for data analysis is relevant and exciting.
My work is motivated by ongoing collaborations with clinicians, biologists, psychologists and chemists. Random effects models is the research theme which is the basis of my work especially in family data. Within the EU funded FP7 Consortium MIMOmics, which I coordinate, methods for integrated analysis of multiple omics data are being developed. Finally using data from electronic patient records for risk prediction and study design is a new and interesting research topic in statistics.
Research groups and institutes
<li><a href="//phd.leeds.ac.uk/project/638-multivariate-peaks-over-threshold-(pot)-modelling-of-nonstationary-air-pollution-concentration-data">Multivariate Peaks-Over-Threshold (POT) Modelling of Nonstationary Air Pollution Concentration Data</a></li>
<li><a href="//phd.leeds.ac.uk/project/753-statistical-and-machine-learning-methods-for-longitudinally-measured-image-datasets">Statistical and machine learning methods for longitudinally measured image datasets</a></li>