This two-day course aims to provide a good understanding of a range of techniques for longitudinal data analysis and hands on experience of the analysis of longitudinal studies. It includes a mixture of theoretical sessions and practical sessions (using STATA) to illustrate concepts. Practical sessions will use data from longitudinal studies of health research, such as the English Longitudinal Study of Ageing (ELSA).
The course will cover:
- Random effects models for continuous outcomes
- Growth curve models
- Random effects models for binary data
- Event history analysis
Dr Shaun Scholes
Shaun is Senior Research Associate in the Department of Epidemiology and Public Health at UCL. He works on the annual reports for the Health Survey for England and his research interests include socioeconomic inequalities in physical activity and hypertension in the UK and worldwide.
Dr Paola Zaninotto
Paola is Associate Professor in Medical Statistics in the Department of Epidemiology and Public Health at UCL. Her research focuses on trajectories of physical health and wellbeing in older adults as well as determinants of healthy ageing.
Dr Owen Nicholas
Owen is a Senior Research Associate in UCL’s Department of Statistical Science working on the interactions between climate, food systems and health.
Professor Jenny Head
Jenny is Professor of Medical and Social Statistics in the Department of Epidemiology and Public Health at UCL. Her research focuses on determinants of healthy ageing and healthy working lives.
- Experience of using STATA or similar package
- Experience of linear and logistic regression
- Experience of data analysis
By the end of the course you’ll be able to:
- Use methods to identify between and within individual variation in outcomes
- Use and interpret models for longitudinal outcomes
- Use and interpret growth curve models
- Use and interpret models for event history data
- Propose, evaluate and select models
- Interpret and communicate results
You will receive a certificate of attendance if you attend both days of the course. Please note the course does not receive UCL credits.
Cost and concessions
The fees are:
- Full rate: £400
- Reduced rate for group bookings of four people or more: £300
- Reduced rate for PhD students at UK higher education institutes: £300
How to Apply
Last Booking Date: 26th April 2019
The course runs from 9.30am - 5.30pm on both days. Please note this timetable may be subject to change.
|Monday 13th May 2019||Tuesday 14th May 2019|
|9.15||Registration and welcome|
|09:30-11:00||Random effects models for continuous outcomes||Random effects models for binary outcomes|
|11:00-11:30||Coffee break||Coffee break|
|11:30-13:00||Computer practical session||Computer practical session|
|14:00-15:30||Growth curve models||Event history analysis|
|15:30-16:00||Coffee break||Coffee break|
|16:00-17:30||Computer practical session||Computer practical session|