Research projects
Below we list research projects lead by our researchers, and funded by major national funding bodies.
Machine learning to study causality with big datasets: towards methods yielding valid statistical conclusions (Wallenberg Foundation, 2022-2026)
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)
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)