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


Several open positions in Statistics and Data Science: Postdocs (2-year) - PhD program (4-year)

We are organizing an invited session on "Causal inference and register data" at the 8th Nordic-Baltic Biometrics Virtual Conference (Helsinki), June 7-10, 2021.

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.

Stat4Reg team participating at the brännboll "World Championship" for the third year in a row: picture!

Seminar: Gentle introduction to mediation analysis given to researchers working with register data at the Umeå SIMSAM Lab. Slides here.

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

New PhD student positions

Research funding from Swedish research councils

New funding from Riksbankens Jubileumsfond

PhD defence: Methods for improving covariate balance in observational studies

New funding to Stat4Reg from the Swedish Research Council for 2017-2022

STRATOS visiting Umeå

High performance computer (HPC2N) at Umeå University