Longitudinal Data Analysis

Date:

13/05/2019 - 14/05/2019

Organised by:

UCL

Presenter:

Prof. Jenny Head

Level:

Intermediate (some prior knowledge)

Contact:

Jenny Head, j.head@ucl.ac.uk

Map:

View in Google Maps  (WC1 6BT)

Venue:

Gower Street

Description:

This two-day course run by the Department of Epidemiology and Public Health at UCL 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

The course runs from 9.30am - 5.30pm on both days.

Course leaders: Dr Shaun Scholes, Dr Paola Zaninotto, Dr Owen Nicholas, Professor Jenny Head

Pre-requisites: Experience of using STATA or similar package. We also recommend that participants have experience of data analysis and good understanding and experience of regression methods such as linear and logistic regression.

Cost:

£400 including lunch, tea and coffee.
Reduced rates:
Group bookings of four people or more £300
PhD students at UK higher education institutes £300

Website and registration:

Region:

Greater London

Keywords:

Quantitative Data Handling and Data Analysis, Longitudinal Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis

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