Research projects

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


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)

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

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

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

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)


Projects in which we collaborate:

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)


Older project:

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)