Handling missing data in the 1970 British Cohort Study
Date:
06/06/2024
Organised by:
UCL Centre for Longitudinal Studies
Presenter:
Michalis Katsoulis is an Associate Professor in Biomedical Statistics at the MRC unit for Lifelong Health and Ageing.
Level:
Intermediate (some prior knowledge)
Contact:
Richard Steele, ioe.clsevents@ucl.ac.uk
Venue: Online
Description:
his webinar is aimed at users of the 1970 British Cohort Study (BCS70), though may be of interest to users of other longitudinal surveys.
Missing data are common in longitudinal surveys, particularly due to attrition over waves of data collection, and can lead to substantial bias. Principled methods of missing data handling are usually required to obtain unbiased estimates in such settings.
In this webinar we will briefly cover the relevant missing data theory before discussing missing data methods and their application. There will be a particular emphasis on why and how variables other than those required for the analysis should be included in missing data handling.
We will present findings from our recent work in BCS70 and provide guidance for how users of data from this study can handle missing data in their own analyses.
We will demonstrate that with careful analysis it is possible to largely restore sample representativeness despite the presence of selective attrition.
This online webinar is free to attend and will be conducted live, with an opportunity to ask questions. We’ll also publish a recording of the webinar on our YouTube channel without the Q&A.
Cost:
Free
Website and registration:
https://cls.ucl.ac.uk/events/handling-missing-data-in-the-1970-british-cohort-study/
Region:
Greater London
Keywords:
Quantitative Data Handling and Data Analysis, Regression Methods, Longitudinal Data Analysis
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Regression Methods
Longitudinal Data Analysis