Handling missing data in the British cohort studies

27 Apr 2023
Workshop

Attendees will learn why principled methods of missing data handling are usually required to obtain unbiased estimates in long-running cohort studies, learn how to undertake such analyses, and observe a demonstration of how to do so in practice using Stata, with a focus on multiple imputation.

Event details

Date

Thursday 27 April 2023.

Time

13:00 – 16:30 GMT

Registration
Platform

Microsoft Teams (link to be sent after registration)

About the event

**Capacity for this event is nearly reached. Due to strong interest we will be announcing a new date for an additional workshop shortly**

Attendees will learn why principled methods of missing data handling are usually required to obtain unbiased estimates in long-running cohort studies, learn how to undertake such analyses, and observe a demonstration of how to do so in practice using Stata, with a focus on multiple imputation. The 1958 National Child Development Study (NCDS) will be used as the main case study, with Next Steps, the 1970 British Cohort Study (BCS70) and the recent COVID-19 Surveys across five national longitudinal cohort studies also discussed. There will be plenty of opportunity for questions and discussion.

Learning objectives

By the end of the workshop, attendees will:

1. Understand why principled methods of missing data handling are usually required to obtain unbiased estimates in long-running cohort studies.

2. Understand why and how variables other than those included in the analysis should be included in principled methods of missing data handling.

3. Have gained familiarity with examples in which principled methods of missing data handling have been applied.

4. Have observed how such approaches could be applied in practice through example applications using data from the NCDS (focusing on the use of multiple imputation in Stata).

This workshop will be run by staff from UCL Centre for Longitudinal Studies and MRC Unit for Lifelong Health and Ageing:

> Prof George Ploubidis, Professor of Population Health and Statistics and Director of NCDS and BCS70
> Dr Richard Silverwood, Associate Professor in Statistics and CLS Chief Statistician
> Dr Martina Narayanan, Research Associate
> Brian Dodgeon, Research Fellow
> Dr Michalis Katsoulis, Associate Professor of Biomedical Statistics

Time Duration What Who
13:00 – 13:10 10 mins Welcome & Introductions George
13:10 – 13:40 30 mins Missing data theory George
13:40 – 14:00 20 mins Introduction to CLS cohorts Brian
14:00 – 14:10 10 mins Break
14:10 – 15:10 60 mins CLS Missing Data Strategy Richard/Michalis
15:10 – 15:20 10 mins Break
15:20 – 16:00 40 mins Demonstration Martina
16:00 – 16:30 30 mins Q&A All

 

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