Deputy Head

Maarten Jacob Bijlsma

I am an applied statistician, epidemiologist, and demographer with a special interest in advanced statistical methods for counterfactual causal inference.

Since November 2015, I have been employed at the Population Health laboratory of the Max Planck Institute for Demographic Research (MPIDR). At the MPIDR, I am primarily concerned with applying causal inference methods to study the social determinants of population health and mortality, but lately I have also been making some forays into fertility research.

For more info, see my personal website.

Projects

Assessment of Methods in Population Health Projects details

Behavioral Determinants of Health and Mortality Projects details

Causal Inference Approaches to Fertility over the Life Course Projects details

Social and Economic Determinants of Mental and Cognitive Health Projects details

The Baltic Sea States Project Projects details

Trends in the Age Patterns of Morbidity and Mortality: Monitoring and New Methodological Approaches Projects details

MPIDR Publications

Recent All

Bijlsma, M. J.; Wilson, B.:

Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula

Journal of the Royal Statistical Society/A 183:2, 493–513. (2020)

Hale, J. M.; Bijlsma, M. J.; Lorenti, A.:

Does postponing retirement affect cognitive function? A counterfactual experiment to disentangle life course risk factors

MPIDR Working Paper WP-2020-013. (2020)

Bijlsma, M. J.; Wilson, B.; Tarkiainen, L.; Myrskylä, M.; Martikainen, P.:

The impact of unemployment on antidepressant purchasing: adjusting for unobserved time-constant confounding in the g-formula

Epidemiology 30:3, 388–395. (2019)

Nisén, J.; Bijlsma, M. J.; Martikainen, P.; Wilson, B.; Myrskylä, M.:

The gendered impacts of delayed parenthood on educational and labor market outcomes: a dynamic analysis of population-level effects over young adulthood

MPIDR Working Paper WP-2019-017. (2019)

Sudharsanan, N.; Bijlsma, M. J.:

A generalized counterfactual approach to decomposing differences between populations

MPIDR Working Paper WP-2019-004. (2019)

The Max Planck Institute for Demographic Research is not responsible for the content of this page.

About Us

The Max Planck Institute for Demographic Research (MPIDR) in Rostock is one of the leading demographic research centers in the world. It's part of the Max Planck Society, the internationally renowned German research society.