University of Cambridge > > MRC Epidemiology and CEDAR Seminars > Using administrative data linkage to create electronic birth cohorts: opportunities and challenges

Using administrative data linkage to create electronic birth cohorts: opportunities and challenges

Add to your list(s) Download to your calendar using vCal

  • UserDr Katie Harron, UCL Great Ormond Street Institute of Child Health World_link
  • ClockTuesday 07 December 2021, 12:00-13:00
  • HouseOnline.

If you have a question about this talk, please contact Paul Browne.

This seminar will be broadcast live online, please register in advance for this meeting:

About this talk

Linkage of administrative data from different sources can help us better understand the distribution of health and disease in populations. Linking data for mothers and babies allows us to create electronic cohort studies that cover a high proportion of the population, and to generate highly generalisable evidence to inform public policy. However, linkage is not always straightforward, particularly when we would like to link cross-sectoral data in order to understand social determinants of health. In this talk, I will discuss some of the opportunities for research using electronic birth cohorts, and some of the challenges that we should try to address when using these data for research.

About Professor Green

Katie is an Associate Professor in quantitative methods at the UCL Great Ormond Street Institute of Child Health. Her methodological research aims to develop methods to exploit the rich data that are collected about populations as we interact with services throughout our lives. Katie’s applied research focuses on maximising the use of existing data sources to improve services for vulnerable mothers and families. Her current research links data from health, education and social care at a national level, in order to improve our understanding of the health of individuals from birth to young adulthood.

This talk is part of the MRC Epidemiology and CEDAR Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity