Stat4Reg is a research laboratory at Umeå University, where scientists work at developing Causal Machine Learning models, methods and free software for the analysis of large individual databases, including linkages of health, socio-economics, demographic and other administrative registers (record linkage data), longitudinal studies (brain imaging, intervention programs, panel studies, ...), etc.
Keywords: Causal inference, Register-based reseaerch
We are organizing an invited sesssion "Causal inference with machine learning" at the 14th CMStatistics 2021 meeting, 18-20 December at King's College London.
Open reseach assistant position (5 months): announcement (in Swedish)
Stat4Reg researchers are organizing three invited sessions at the Virtual CMStatistics, December 2020.
New PhD student position (causal mediation analysis)
Stat4Reg members organized two invited sessions and gave four talks at the CMStatistics meeting in London, December 2019; on topics related to machine learning for causal inference and missing data problems. See program.
Job: We are looking for a programmer (C++, Python, parallel programming, etc) to work with our researchers at implementing novel machine learning methods
PhD defence: Methods for longitudinal brain imaging studies with dropout - Feb 2019
Conference on Machine Learning — Registration deadline 15 January
PhD defence: Methods for improving covariate balance in observational studies