Eric Duku

  • Senior Statistician/Health Research Methodologist, Offord Centre for Child Studies
  • Assistant Professor (Part-Time), Department of Psychiatry and Behavioural Neurosciences

Eric Duku is currently investigating the factors that challenge the measurement invariance of constructs used in comparative studies in early child development (ECD) research and ways to ensure that instruments used minimize bias as much as possible. This includes research into the measurement and statistical challenges associated with early child development research, determinants of healthy child development with emphasis on the factors that challenge the measurement invariance of constructs used in comparative studies in ECD research.He works with Magdalena Janus’ team coordinating annual data collections using the Early Development Instrument (EDI), performing the data analyses, supporting EDI-related projects in a number of countries around the world. Eric is also a Co-Investigator the Pathways in ASD study, a multi-site study to examine the developmental pathways of children with ASD and to identify the variables that influence these pathways. The Pathway study is in Phase III, following these children through the later years of primary schooling. . He is also a co-Investigator and a collaborator on other grants with members of the Faculty of Health Sciences and Department of Psychiatry and Behavioural Neurosciences.


Current Activities

  • Early Development Instrument- a reliable and valid measurement tool of developmental status completed on individual children at school entry in a holistic manner that comprises five major areas of child development.
  • Pathways in ASD - the largest longitudinal study in the world to examine the psycho-social factors in children with ASD

Publications

  • Birken, C. S., Omand, J. A., Nurse, K. M., Borkhoff, C. M., Koroshegyi, C., Lebovic, G., Maguire, J. L., Mamdani, M., Parkin, P. C., Simpson, J. R., Tremblay, M. S.,  E., Reid-Westoby, C., Janus, M., & TARGet Kids! Collaboration (2019). Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child’s school readiness, a prospective cohort. BMJ open, 9(11). doi: 10.1136/bmjopen-2019-030709
  • Webb, S., Duku, E., Brownell, M., Enns, J., Forer, B., Guhn, M., Minh, A., Muhajarine, N., & Janus, M. (2019). Sex differences in the socioeconomic gradient of children’s early development. SSM – Population Health. doi: 1016/j.ssmph.2019.100512
  • Baribeau, D. A., Vigod, S., Pullenayegum, E., Kerns, C. M., Mirenda, P., Smith, I. M., Vaillancourt, T., Volden, J., Waddell, C., Zwaigenbaum, L., Bennett, T., Duku, E., Elsabbagh, M., Georgiades, S., Ungar, W. J., Zaidman-Zait, A., & Szatmari, P. (2019). Repetitive Behavior Severity as an Early Indicator of Risk for Elevated Anxiety Symptoms in Autism Spectrum Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. doi: 1016/j.jaac.2019.08.478
  • Gagné, M., Janus, M., Muhajarine, N., Gadermann, A., Duku, E., Milbrath, C., Minh, A., Forer, B., Magee, C., & Guhn, M. (2019). Disentangling the role of income in the academic achievement of migrant children. Social Science Research. doi: 1016/j.ssresearch.2019.102344
  • Bal, V. H., Fok, M., Lord, C., Smith, I. M., Mirenda, P., Szatmari, P., Vaillancourt, T., Volden, J., Waddell, C., Zwaigenbaum, L., Bennett, T., Duku, E., Elsabbagh, M., Georgiades, S., Ungar, W. J., Zaidman-Zait, A. (2019). Predictors of longer-term development of expressive language in two independent longitudinal cohorts of language-delayed preschoolers with Autism Spectrum Disorder. Journal of Child Psychology & Psychiatry. doi: 1111/jcpp.13117
  • Forer, B., Minh, A., Enns, J., Webb, S., Duku, E., Brownell, M., Muhajarine, N., Janus, M., Guhn, M. (2019). A Canadian Neighbourhood Index for Socioeconomic Status Associated with Early Child Development. Child Indicators Research. 1-22. doi: 1007/s12187-019-09666-y

For further publications click here.



Contact Eric

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Research Interests

  • Research methodology
  • Applied statistics
  • Latent variable modeling
  • Model-based classification

Education, Memberships & Certifications

  • P.Stat
  • Ph.D., University of Ottawa