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About us Medical Sciences Research Epidemiology Research and Teaching
University Medical Center Groningen

Medical Statistics and decision making

Mission

To develop and apply statistical and machine learning methods for analyzing ever-larger and complex data in collaboration with epidemiologists and clinicians.

Content

Our research focuses on developing modern methods for statistical modeling in clinical and epidemiological studies and analyses of large cohort data. We also develop decision analysis techniques to support benefit-risk assessments of medicines and medical decision making. In addition to these research activities our unit teaches statistical methods to undergraduate and postgraduate students through a range of basic and advanced courses, and provides statistical support through the Clinical Research Office and through short- and long-term collaborations with various clinical departments in the UMCG.

Plans

In 2021 we plan to develop a new course focused on machine learning methods that are relevant for medical research, and launch several new e-learning modules for statistics courses . We will also explore how our risk assessment software ADDIS can support UMCG staff. Our research efforts in 2021 are focusing on developing methods for identify hidden patterns in Lifelines and UK Biobank data.

Senior staff

Name Function/collaboration e-mail address Topic
Gerton Lunter Full Professor, unit chair g.a.lunter umcg.nl Statistics and Machine Learning
Hans Hillege Full Professor h.hillege umcg.nl Clinical Epidemiology
Sacha la Bastide Assistant professor s.la.bastide umcg.nl Causal Inference
Hans Burgerhof Lecturer j.g.m.burgerhof umcg.nl Teaching; study design
Douwe Postmus Senior researcher d.postmus umcg.nl Medical decision making
Kata Tamasi Statistical Consultant k.tamasi umcg.nl Medical Statistics
Daan Reid Software engineer d.reid umcg.nl Decision Support Systems
Joris de Keijser Software engineer j.j.de.keijser umcg.nl

Decision Support Systems

Karlis Zalite Software developer k.zalite umcg.nl

Decision Support Systems

PhD fellows Collaboration
Yuntao Chen Advanced survival analysis techniques Advanced survival analysis techniques
Darlene Huisenga

Developmental Neurology, Pediatrics, UMCG

Developmental outcomes of infants born with severecongenital heart disorder

Sonia Roldan Munoz Clinical pharmacy & pharmacology s.roldan.munoz umcg.nl Preference heterogenety in regulatory benefit-risk assessment
Klazien de Vries Mathematics, Oncology k.de.vries umcg.nl Improved survival analysis using machine learning
Aïda Baxhaku

Re-design of the study data import process of the ADDIS software

Last modified:16 April 2021 6.02 p.m.