Longitudinal Data Analysis
Date:
30/06/2014 - 01/07/2014
Organised by:
University College London
Presenter:
Jenny Head
Level:
Intermediate (some prior knowledge)
Contact:
Description:
The aim of the course is to provide an introduction to and hands on experience of the analysis longitudinal studies using
- Random effects models for continuous outcome
- Growth curve models
- GEE models for continuous outcomes
- Random effects models for binary data
- GEE models for binary data
- Event history
The course will comprise a brief introduction (I think it is worth having some kind of orientation at the beginning) with 4 lectures of 90 minutes length and 4 practicals of 90 minutes, with tea breaks! Pre-requisites are
- Experience of STATA or similar package
- Experience of linear and logistic regression
- Experience of data analysis
Monday 30th June 2014
- 9.15 am Introduction
- 9.30 am Fixed effects + Random Intercept models (Amanda)
- 11.30 am Practical session
- 1.00 pm Lunch
- 2.00 pm Random Effects + Growth Curve models (Paola)
- 4.00 pm Practical session
Tuesday 1st July 2014
- 9.30 am Continuous + binary outcomes, Random Effects + Population Average models
- 11.30 am Practical session
- 1.00 pm Lunch
- 2.00 pm Event History analysis
- 4.00 pm Practical session
Cost:
TBC
Website and registration:
http://courses.grad.ucl.ac.uk/course-details.pht?course_ID=2101
Region:
Greater London
Keywords:
Longitudinal Research , Multilevel Modelling , Longitudinal Data Analysis, Quantitative Software
Related publications and presentations:
Longitudinal Research
Multilevel Modelling
Longitudinal Data Analysis
Quantitative Software