Institute of Health & Society

Staff Profile

Dr Eduwin Pakpahan

Research Associate in Medical Statistics


I joined 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 the 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 the life course, epidemiology, and medical sociology. Recent and ongoing work includes a study of life course (include aging), dementia, and quality of life in older people.

In statistical methods part, I am interested in the 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.

Professional activities:

  • Royal Statistical Society
  • Society for Longitudinal and Lifecourse Studies 


Mixed effect model and longitudinal data analysis
Graphical model and multivariate analysis
Life course models in aging
Health and Social Science