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Stephanie Prady
Senior Research Fellow, Inequalities in Health



Stephanie has been a health services researcher and social epidemiologist in hospitals and universities both in the UK and the US. She currently holds a Wellcome Trust Society and Ethics Research Fellowship (2016-19). In this work she aims to model the effect that different preventative or treatment interventions have on altering the variation in the benefit experienced by advantaged groups compared to disadvantaged groups (the mental health inequality).

Her previous MRC-funded research on health inequality focused on families in the context of maternal mental health in collaboration with the Born in Bradford study, and strategies to reduce health inequalities through interventions in the NIHR-funded CLAHRC Yorkshire and the Humber. She has also worked on wide range of projects including electronic health records, substance abuse, complementary medicine, clinical audit and ethnic minority health. Stephanie has a special interest in methodological considerations including measurement, the analysis of routine data, and novel review methods.


  • BSc (Hons)
  • MAc
  • MSc
  • PhD



Stephanie's research interests lie in the social determinants of health inequalities, particularly in mental health.


Previous projects

Research group(s)


Stephanie is interested in supervising PhD students in the following areas: population health; social epidemiology; inequalities in common mental health problems; evidence synthesis including methodological reviews; bias and methods in trials; methods in the use of routine data in research. 


Full publications list

Stephanie Prady

Contact details

Stephanie Prady
Senior Research Fellow, Inequalities in Health

Tel: 01904 32(1362)



Stephanie is interested in supervising Master's dissertations in the broad areas of social epidemiology, mental health inequalities, mental health, perinatal mental health, the use of routinely collected data in research, and methodology in both trials and observational analysis. Preferred methods are reviews (either methodological or outcome focused), or analysis of primary or secondary quantitative data.