Pathways to Health / SpringerBriefs in Population Studies (PDF)

particular focus on methods for learning about cause-effect relationships from observational data. She is especially interested in situations, such as when attempting to learn about the joint effects of sequential exposures in the presence of time-dependent confounding, or when attempting to disentangle path-specific causal effects, where standard regression methods are known to be valid only under highly unrealistic assumptions, but where alternative, so-called "causal inference", methods rely on weaker assumptions and hence can deliver substantially more reliable inferences with respect to the question of scientific interest.







Sanna Read is an Assistant Professorial Research Fellow at the Personal Social Services Research Unit, London School of Economics and Political Science. Her current research interests are long-term health effects of fertility history, social contacts and socioeconomic factors in middle and older age. She is also interested in social inequalities and school engagement, school burnout and mental health among young people.







Benedetta Pongiglione holds a PhD in Epidemiology and Population Health from the London School of Hygiene and Tropical Medicine, University of London. She previously obtained a degree in Economic and Social Science 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 causes and consequences. Lenka Benova is a quantitative population health scientist with training in management, economics, Middle East studies and demography. From 2014 to 2018, she served as a co-investigator on the Maternal healthcare markets Evaluation Team (MET) at the London School of Hygiene & Tropical Medicine, where I led the SAGE (Secondary data Analysis for Generating new Evidence) team. Lenka a keen interest in health-seeking behaviour, maternal health research, and evaluation in low- and middle-income countries. Within these areas, Lenka is interested in innovative methods to capture decisions and steps in health-seeking, validity of self-reported health-seeking indicators, and coverage of care contact and content.