Using multiple longitudinal studies for age-period-cohort investigations

Description:

About the workshop

Longitudinal studies provide rich data for life course epidemiology (e.g., understanding some age-related process or its causes and consequences), but this power is magnified by working across multiple studies. In particular, with multiple cohorts (representative of the same population) born at different points in time researchers can investigate how some age-related process or association has changed over time in response to shifts in the behavioural, nutritional, and political etc environments.

This workshop will focus on the use of multiple longitudinal studies for age-period-cohort investigation.

This event is aimed at PhD students and early-career researchers, however everyone is welcome to attend.

Programme

09:30 Registration and refreshments

10:00 Welcome to the day – Dr Will Johnson, Loughborough University

10:10 Age-period-cohort effects in longitudinal studies – Dr Andrew Bell, University of Sheffield

10:50 Refreshment break

11:10 Trends in obesity development – Dr Will Johnson

11:50 Trends in adolescent growth – Liina Mansukoski, Loughborough University

12:10 Lunch

13:10 Practical activity – drawing an age-period-cohort figure led by Dr Silvia Costa & Dr Tom Norris, Loughborough University

14:10 Refreshment break

14:30 The changing association of maternal age and offspring well-being – Dr Alice Goisis, London School of Economics and Political Science

15:10 Cohort differences in cognitive ageing – Dr Anamaria Braelian, King’s College London

15:50 Closing remarks – Dr Will Johnson

16:00 End

Cost:

Free

Website and registration:

https://www.closer.ac.uk/event/age-period-cohort-workshop/

Region:

Greater London

Keywords:

Quantitative Data Handling and Data Analysis, Longitudinal Data Analysis, Age-period-cohort effect

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis

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