Research projects

Below we list research projects lead by our researchers, and funded by major national funding bodies.

Projects with Stat4Reg members as PI:

Integrative machine and deep learning models for predictive analysis in complex disease areas (VR, 2025-2029)

Generative AI to promote open science in register based research (VR, 2025-2029)

Dynamic relations between cardiovascular, social and behaviourial risk factors of cognitive ageing (VR, 2023-2027)

Machine learning to study causality with big datasets: towards methods yielding valid statistical conclusions (Wallenberg Foundation, 2022-2027)


Projects in which we collaborate:

Innovative machine learning methods for comparison of predictions and outcomes in register data (VR, 2023-2026)

Robots with Causal Capabilities (VR, 2023-2026)

Så ändrade äldre européer sina aktiviteter under pandemin (EU Horizon 2020, 2021-2023)

HALDI – hälsa och levnadsvillkor i Sápmi, Sverige (Wallenberg, 2018-2023) 


Older projects:

Methodological development for estimating marginal causal effects of non-randomized treatments on time-to-event outcomes (VR, 2019 - 2022) 

Uncovering the mechanisms behind socioeconomic inequalities in stroke care and outcome through innovative statistical methods for mediation analysis (FORTE, 2019-2021, VR, 2019-2022) 

Statistical methods to study causal effects with population based registers  (VR, 2017-2022) 

Statistical models and methods to study life trajectories in the labour market and health domains (VR, 2017-2021)

Innovative statistical methods for optimal use of large-scale register data in studies of causal pathways (Wallenberg, 2017-2020) 

Attrition and Generalizability of Cognitive Aging Studies - A Population-Based Perspective (RJ, 2018-2020)

Methods for non-ignorable missingness in longitudinal brain imaging studies (RJ, 2017-2019)

Measuring health and health care performance (VR, 2012-16) 

Longitudinal studies of cognitive aging: Multivariate and fMRI outcomes with non-ignorable dropout (VR, 2012-17) 

Statistical methods for analyzing marginal causal effects in matched and unmatched case control study designs (RJ, 2012-14)

EqualStroke: Inequalities in Swedish stroke care with respect to socioeconomic status, country of birth, sex and age (VR, FORTE)

Physical, psychological and socioeconomic effects of childhood onset diabetes in Sweden – longitudinal register-based studies (VR, 2018-22)

When and where is it possible for young workers to escape from low-wage jobs? The role of the organizational and regional context for upward wage mobility (VR, 2018-20)

Refugee immigration and change in the Swedish labour market - which is the role of the municipalities? (FORTE, 2017-19)

Effects of adult education of laid-off workers on enrolment in higher education, employment, and incomes (VR, 2016-18)

The Umeå SIMSAM Lab - Infrastructure for Microdata Research from Childhood into Lifelong Health and Welfare (RJ infrastructure, 2016-18)

Swedish interdisciplinary graduate school in register-based research (VR, 2014-18)

Paths to healthy and active ageing (FORTE program, 2014-18)