UCL Population Health Sciences


Master class: Methods for the calculation of Healthy Life Expectancy

22 September 2020, 10:00 am–12:00 pm

life expectancy

Our next Network of Applied Statisticians in Health (NASH) master class will focus on methods for the calculation of healthy life expectancy

This event is free.

Event Information

Open to







Network of Applied Statisticians in Health

If you are interested to learn more about healthy life expectancy you may want to join us for our next NASH Master.



10:00 – 10:10 Welcome and Introduction
10:10 – 10:50 Health Expectancy: an empirical application of the Sullivan method by Dr Benedetta Pongiglione, Bocconi University
10:50 – 11:30 Stochastic Population Analysis for Complex Events (SPACE) by Dr Paola Zaninotto, UCL
11:30 – 12:00 ELECT: Estimation of Life Expectancies Using Continuous-Time Multi-State Survival Models by Dr Ardo Van Den Hout, UCL and Mei Sum Chan, University of Oxford

This event is one of a series of Annual Events organised by UCL's Network of Applied Statiscians in Health

About the Speakers

Paola Zaninotto

Associate Professor at UCL

Paola is Associate Professor in Medical Statistics at Institute of Epidemiology and Healthcare UCL, she is co-investigator of the English Longitudinal Study of Ageing. Her research interests include trajectories of physical health and well-being at older age, healthy ageing, healthy life expectancy, longitudinal data analysis, time to event analysis, structural equation modelling and multiple imputation.

More about Paola Zaninotto

Ardo Van Den Hout

Associate Professor at UCL

Ardo is an Associate Professor in Statistics at the Department of Statistical Science, UCL. He studied mathematics and philosophy at the University of Nijmegen and completed a PhD in social statistics at the University of Utrecht in 2004. Previously he worked in the MRC Biostatistic Unit, Cambridge. Research interests:  longitudinal data analysis, survival analysis, multi-state models, change-point models, statistical computing.

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Benedetta Pongiglione

Quantitative population health scientist at Bocconi University

Benedetta Pongiglione is a quantitative population health scientist with training in demography, economics and epidemiology. She holds a PhD in Epidemiology and Population Health from the London School of Hygiene and Tropical Medicine. She previously obtained a degree in Economic and Social Sciences from Bocconi University and completed the European Doctoral School of Demography program. She is currently involved on research on cost and outcome analysis of healthcare technologies and development of scientific models to investigate medical practice variations to foster the use of economic evaluation in policymaking. Benedetta’s research interests include socio-structural inequalities in health and understanding their trajectories over the life course.  

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Mei Sum Chan

PhD student at Oxford University

Mei is writing up her PhD thesis on biological ageing based on clinical biomarkers at the Nuffield Department of Population Health and Big Data Institute in the University of Oxford. Previously, she worked in an industry-academia collaboration at UCL investigating socioeconomic inequalities in life expectancy with and without multimorbidity, and contributed to the development of statistical software for estimating state-specific life expectancies.

More about Mei Sum Chan