Dr Eduwin Pakpahan

Assistant Professor

School: Engineering, Physics and Mathematics

I completed my first degree in Statistics at Bogor Agricultural University, Indonesia, and PhD at University of Perugia, Italy (2012). My thesis examined the causal inference in Gaussian graphical Markov model (an extension of the instrumental variable method). Then I moved to European University Institute, Firenze as a research associate, and in Nov 2016 I moved to UK; first to School of Health Science, Univ of East Anglia, Norwich, then in Sept 2017 to Newcastle University.

I joined 51�� in June 2020 as a lecturer in statistics at Dept of Mathematics, Physics and Electrical Engineering. My research interests are in the mixed effect model and generalized latent variable model with application in health and social sciences (particularly in aging research and using cross-country cohort studies, such as SHARE, ELSA, or HRS). In addition, not limited to the statistical side, I am also interested in "causal reasoning" and the interplay between quantitative and qualitative approaches.

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ORCID ID:��

Email Eduwin

Research Themes and Scholarly Interests

Mixed effect model and longitudinal data analysis
Graphical model and multivariate analysis
Life-course models in aging
Epidemiology and Public Health

In collaboration with colleagues from Newcastle and Nottingham, among others, we are developing the risk prediction model of dementia in low- and middle-income countries (LMIC).

Key Publications

Longitudinal Pattern of Multimorbidity in Older Adult Population: Latent Transition Analysis in 34 Countries, Izzati, R., Pakpahan, E. 13 Jun 2025, In: American Journal of Epidemiology
Prediction of dementia risk in low-income and middle-income countries (the 10/66 Study): an independent external validation of existing models, Stephan, B., Pakpahan, E., Siervo, M., Licher, S., Muniz-Terrera, G., Mohan, D., Acosta, D., Rodriguez Pichardo, G., Sosa, A., Acosta, I., Llibre-Rodriguez, J., Prince, M., Robinson, L., Prina, M. 1 Apr 2020, In: The Lancet Global Health
Structured Cardiac Assessment and Treatment Following Exacerbations of COPD (SCATECOPD): A Pilot Randomised Controlled Trial, Kibbler, J., Pakpahan, E., McCarthy, S., Webb-Mitchell, R., Prasad, A., Ripley, D., Gray, J., Bourke, S., Steer, J. 7 Mar 2025, In: Biomedicines
The reciprocal relationship between material factors and health in the life course: evidence from SHARE and ELSA, Hoffmann, R., Kröger, H., Pakpahan, E. 1 Dec 2018, In: European Journal of Ageing
The long arm of childhood circumstances on health in old age: Evidence from SHARELIFE, Pakpahan, E., Hoffmann, R., Kröger, H. 1 Mar 2017, In: Advances in Life Course Research

Current and Recent Projects

tNIVOW - Standard versus accelerated weaning from non-invasive ventilation in COPD directed by the NIV Outcomes score, Gray, J. (Principal Investigator), Pakpahan, E. (Co Investigator), National Institute for Health Research, 01/08/22 - 31/07/25, £55,043.00

PGR Supervision

Ridho Al Izzati The long-arm of childhood: Cross-national comparisons using Big Cohort Data Start Date: 01/10/2023
Ridho Al Izzati The long-arm of childhood: Cross-national comparisons using Big Cohort Data Start Date: 01/10/2023 End Date: 17/10/2025