Session: Biomarkers

Time: Tuesday 5th July, 10:00 - 12:30

Convenors:

Professor Natalie Shlomo (Social Statistics, School of Social Sciences, University of Manchester)
Professor Tarani Chandola (Cathie Marsh Institute for Social Research, University of Manchester)


Abstract Details

The session includes presentations on substantive and methodological topics in bio-social research. Michaela Benzeval considers ways in which biomarker and genetics data might be included in social science research across different disciplines. Peter Lynn describes survey processes that lead to non-response in biomarker data and how compensatory weights were developed for Understanding Society. Gindo Tampubolon presents an analysis of biomarkers in ELSA with a focus on informative attrition and bias arising from collected retrospective data. Alex Cernat presents a typology of missing data in bio-social research, current practices and compensating for the missingness.

Presentation downloads

Presenter: Gindo Tampubolon

Trajectories of biomarkers, healthy ageing phenotype and allostatic load

The level of the session is: Accessible

Presentation details

Presentation 1

Start time: 10:00

Presentation title: Biomarker and genetics data in understanding society: how can they contribute to social science research

Presenter:

Professor Michaela Benzeval (Institute for Social and Economic Research, University of Essex)

Presentation 2

Start time: 10:30

Presentation title: Providing weights for secondary data analysis: the case of understanding society biomarker data

Presenter:

Professor Peter Lynn (Institute for Social and Economic Research, University of Essex)

Presentation 3

Start time: 11:30

Presentation title: Inflammation, allostatic load in cognitive ageing and mental health

Presenter:

Dr Gindo Tampubolon (Cathie Marsh Institute for Social Research, University of Manchester)

Presentation 4

Start time: 12:00

Presentation title: Missing data in bio-social research: issues, practice and recommendations

Presenter:

Mr Alexandru Cernat (Cathie Marsh Institute for Social Research, University of Manchester)