Session: Preventing and compensating for missing biosocial data in cross-sectional analysis of longitudinal surveys
Time: Tuesday 3rd July, 10:00 - 12:30
Convenor:
Professor Natalie Shlomo (University of Manchester)
Abstract Details
We present on-going research on nonresponse in biosocial data. The first two papers are based on compensating for missing data in statistical analyses of biomarkers with results from a large simulation study (paper 1) and an application studying the effect of socio-economic position on the biomarker cortisol (paper 2). The final two papers examine the impact of nurse characteristics on the quality of survey response with an analysis of the variance of responses to biomarker collection in ELSA (paper 3) and a comparative study from BCS70 assessing interviewer and then nurse visit versus nurse only interviewing (paper 4).
Presentation downloads
Presenter: Tina Hannemann
The level of the session is: Accessible
Presentation details
Presentation 1
Start time: 10:00
Presentation title: Compensating for Non-response in Biosocial Research: Simulation Study from a Cross-sectional Analysis
Presenter:
Dr Tina Hannemann (University of Manchester)
Presentation 2
Start time: 10:30
Presentation title: Life Course Socio-economic Position Effects on Cortisol: Compensating for Missing Biomarker Data
Presenter:
Ms Georgia Chatzi (University of Manchester)
Presentation 3
Start time: 11:30
Presentation title: Nurse Effects in Biomarker Data Collection in the English Longitudinal Study of Ageing
Presenter:
Dr Alex Cernat (University of Manchester)
Presentation 4
Start time: 12:00
Presentation title: Who’s afraid of giving blood: Does accounting for missing blood data in social surveys make a difference?
Presenter:
Professor Tarani Chandola (University of Manchester)