Dr Eduwin Pakpahan
Research associate in Medical Statistics
- Email: email@example.com
- Telephone: +44(0)191-208-1112
- Address: Institute of Neuroscience,
Campus for Ageing and Vitality (CAV)
Biomedical Research Building, Room 3.26
Newcastle upon Tyne, NE4 5PL
I join Ageing, Geriatrics & Epidemiology (AGE) Group at Institute of Neuroscience (IoN), Newcastle University, in September 2017 as a research associate in medical statistics (biostatistician). Before coming here, I was a senior research associate in applied statistics at School of Health Science, University of East Anglia, Norwich. My main responsibility was in statistical analysis in clinical trials, to be more specific drugs for dementia. In collaboration with dementia research groups in London, using data from clinical research studies (RCT and cohort study) we were interested in the benefits and harms of Z-drugs when used for sleep disturbance in people with dementia. Before came to Norwich I was a research associate at The Comparative Life Course and Inequality Research Centre (CLIC), European University Institute, Florence, Italy from 2013 to 2016.
I completed my first degree in Statistics at Bogor Agricultural University, Indonesia, then followed by a master's degree at University of Padua, Italy, and a PhD in Statistics at University of Perugia, Italy (before embarking on graduate studying, I had several academic experiences at some institutions: the Department of Medical Epidemiology, Shanghai Cancer Institute, China, Lab of Statistics Genetics, University of Pavia, Italy, and The Smeru Research Institute, Jakarta, Indonesia). Since then my research has focused on the applications of statistics in public health and social science, particularly in the fields of life course, epidemiology, and medical sociology. Recent and ongoing work includes a study of life course (include ageing), dementia, and quality of life in older people.
In statistical methods part, I am interested in mixed effect model and generalized latent variable model with application in health and social sciences. In addition, not limited to the statistical side, I am also interested in "causal reasoning" and the interplay between quantitative and qualitative approaches.
- Royal Statistical Society
- Society for Longitudinal and Lifecourse Studies
Mixed effect model and longitudinal data
Graphical model and multivariate analysis
Life course studies
Health and Social Science
- Hoffmann R, Kröger H, Pakpahan E. Health inequalities and the interplay of socioeconomic factors and health in the life course. In: Maurizio Meloni John Cromby Des Fitzgerald Stephanie Lloyd, ed. The Palgrave Handbook of Biology and Society. Palgrave Macmillan UK, 2018, pp.XV, 923. In Press.
- Pakpahan E, Hoffmann R, Kröger H. Retrospective life course data from European countries on how early life experiences determine health in old age and possible mid-life mediators. Data in Brief 2017, 10, 277-282.
- Pakpahan E, Hoffman R, Kröger H. Statistical methods for causal analysis in life course research: an illustration of a cross-lagged structural equation model, a latent growth model, and an autoregressive latent trajectories model. International Journal of Social Research Methodology 2017, 20(1), 1-19.
- Pakpahan E, Hoffmann R, Kröger H. The long arm of childhood circumstances on health in old age: evidence from SHARELIFE. Advances in Life Course Research 2017, 31, 1-10.
- Pakpahan E, Hoffmann R, Kröger H. Does early life matters for health in later life? A global scale comparison of SHARE, ELSA, and HRS. In: Society for Longitudinal and Life Course (SLLS) INTERNATIONAL CONFERENCE. 2016, Bamberg, Germany.
- Hoffmann R, Kröger H, Pakpahan E. Kausale Beziehungen zwischen sozialem Status und Gesundheit aus einer Lebensverlaufsperspektive. In: Monika Jungbauer-Gans Peter Kriwy, ed. Handbuch Gesundheitssoziologie. Springer Fachmedien Wiesbaden, 2016.
- Hoffmann R, Kröger H, Pakpahan E. Causal effects between socioeconomic status and health in a life course perspective. In: Society for Longitudinal and Life Course (SLLS) INTERNATIONAL CONFERENCE. 2015, Dublin, Ireland.
- Kröger H, Hoffmann R, Pakpahan E. Consequences of measurement error for inference in cross‐lagged panel design—the example of the reciprocal causal relationship between subjective health and socio‐economic status. Journal of the Royal Statistical Society: Series A 2015, 179(2), 607-628.
- Pakpahan E, Hoffmann R, Kröger H. Growing up poor and its gradual effect on health in old age in Europe. In: Society for Longitudinal and Life Course (SLLS) INTERNATIONAL CONFERENCE. 2015, Dublin, Ireland. In Preparation.
- Stanghellini E, Pakpahan E. Identification of causal effects in linear models: beyond instrumental variables. TEST 2015, 24, 489-509.
- Hoffmann R, Kröger H, Pakpahan E. The educational gradient in biomarkers for cardiovascular diseases, in self-reported doctor diagnoses and inmortality (2004-2013), in the English Longitudinal Study of Ageing (ELSA). In: Society for Longitudinal and Life Course (SLLS) INTERNATIONAL CONFERENCE. 2015, Dublin, Ireland.
- Kröger H, Pakpahan E, Hoffmann R. What causes health inequality? A systematic review on the relative importance of social causation and health selection. European Journal of Public Health 2015, 26(6), 951-960.
- Kröger H, Hoffmann R, Pakpahan E. An explorative approach to critical periods and accumulation. In: Society for Longitudinal and Life Course (SLLS) INTERNATIONAL CONFERENCE. 2014, Lausanne, Switzerland.
- Pakpahan E, Hoffmann R, Kröger H, Tampubolon G. Consistencies of older people’s responses on their childhood circumstances: The case of European SHARELIFE. In: Society for Longitudinal and Life Course (SLLS) INTERNATIONAL CONFERENCE. 2014, Lausanne, Switzerland.