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.
Stat4Reg at Github: github.com/stat4reg
Three projects have been awarded funding by the Swedish Research Council this Fall: "Dynamic relations between cardiovascular, social and behaviourial risk factors of cognitive ageing"; "Innovative machine learning methods for comparison of predictions and outcomes in register data"; "Robots with Causal Capabilities".
Maria Josefsson is invited speaker at the International Biometric Conference in Riga, 10-15 July, in the session "Recent developments in probabilistic machine learning methods for causal inference"; and Xavier de Luna is invited speaker at the meeting Challenges for Categorical Data Analysis in Perugia, 12-13 May.
Marie Eriksson is moderator for the session "Potentials for AI in National Quality Registers" at the "Quality Registers for research Day" in Stockholm, 5 May.
The project "Machine learning to study causality with big datasets: towards methods yielding valid statistical conclusions" has been awarded funding from the Wallenberg Foundation and from the Swedish Research Council.
We are organizing two invited sesssions "Causal inference with machine learning" and "Causal mediation analysis" at the 14th CMStatistics 2021 meeting, 18-20 December at King's College London.
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.
Open reseach assistant position (5 months): announcement (in Swedish)
Several open positions in Statistics and Data Science: Postdocs (2-year) - PhD program (4-year)
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
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