Guest Researcher

Maarten Jacob Bijlsma

Laboratory of Population Health

maartenbijlsma.com
linkedin.com
demotrends.wordpress.com

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.

MPIDR Publications

Recent All

Gil-Clavel, B. S.; Grow, A.; Bijlsma, M. J.:

Analyzing EU-15 immigrants’ language acquisition using Twitter data

MPIDR Working Paper WP-2022-012. (2022)    

Högnäs, R. S.; Bijlsma, M. J.; Högnäs, U.; Blomqvist, S.; Westerlund, H.; Magnusson Hanson, L.:

It's giving me the blues: a fixed-effects and g-formula approach to understanding job insecurity, sleep disturbances, and major depression

Social Science and Medicine 297:114805, 1–10. (2022)    

Diallo, A. O.; Ali, M. K.; Geldsetzer, P.; Gower, E. W.; Mukama, T.; Wagner, R. G.; Davies, J.; Bijlsma, M. J.; Sudharsanan, N.:

Systolic blood pressure and 6-year mortality in South Africa: a country-wide, population-based cohort study

The Lancet Healthy Longevity 2:2, e78–e86. (2021)    

Gueltzow, M.; Bijlsma, M. J.; van Lenthe, F. J.; Myrskylä, M.:

The contribution of health behaviors to depression risk across birth cohorts

MPIDR Working Paper WP-2021-017. (2021)    

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

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

SSM-Population Health 15:100855, 1–12. (2021)    

Recent All

Gil-Clavel, B. S.; Grow, A.; Bijlsma, M. J.:

Analyzing EU-15 immigrants’ language acquisition using Twitter data

MPIDR Working Paper WP-2022-012. (2022)    

Högnäs, R. S.; Bijlsma, M. J.; Högnäs, U.; Blomqvist, S.; Westerlund, H.; Magnusson Hanson, L.:

It's giving me the blues: a fixed-effects and g-formula approach to understanding job insecurity, sleep disturbances, and major depression

Social Science and Medicine 297:114805, 1–10. (2022)    

Diallo, A. O.; Ali, M. K.; Geldsetzer, P.; Gower, E. W.; Mukama, T.; Wagner, R. G.; Davies, J.; Bijlsma, M. J.; Sudharsanan, N.:

Systolic blood pressure and 6-year mortality in South Africa: a country-wide, population-based cohort study

The Lancet Healthy Longevity 2:2, e78–e86. (2021)    

Gueltzow, M.; Bijlsma, M. J.; van Lenthe, F. J.; Myrskylä, M.:

The contribution of health behaviors to depression risk across birth cohorts

MPIDR Working Paper WP-2021-017. (2021)    

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

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

SSM-Population Health 15:100855, 1–12. (2021)    

Pitkänen, J.; Bijlsma, M. J.; Remes, H.; Aaltonen, M.; Martikainen, P.:

The effect of low childhood income on self-harm in young adulthood: mediation by adolescent mental health, behavioural factors and school performance

Social Science and Medicine - Population Health 13:100756, 1–9. (2021)    

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)    

Vidra, N.; Bijlsma, M. J.; Janssen, F.:

Impact of different estimation methods on obesity-attributable mortality levels and trends: the case of the Netherlands

International Journal of Environmental Research and Public Health 15:10, 1–11. (2018)    

Vidra, N.; Bijlsma, M. J.; Trias Llimós, S.; Janssen, F.:

Past trends in obesity-attributable mortality in eight European countries: an application of age-period-cohort analysis

International Journal of Public Health 63:6, 683–692. (2018)    

Bijlsma, M. J.; Daniel, R. M.; Janssen, F.; De Stavola, B. L.:

An assessment and extension of the mechanism-based approach to the identification of age-period-cohort models

Demography 54:2, 721–743. (2017)    

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

Unemployment and subsequent depression: a mediation analysis using the parametric G-formula

Social Science and Medicine 194, 142–150. (2017)    

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

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

MPIDR Working Paper WP-2017-013. (2017)    

Riffe, T.; van Raalte, A. A.; Bijlsma, M. J.:

Healthy life expectancy, mortality, and age prevalence of morbidity

MPIDR Working Paper WP-2017-015. (2017)    

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