Longitudinal data analysis using Stata®


Last update: July 5, 2009

Organizer: Metrika Consulting

Date: Saturday October 31, 2009

Place: Stockholm

Language: English

Deadline: Sign up before October 24, 2009

Cancellation policy: If you have signed up and need to cancel, you do not need to pay any fee if you cancel more than 11 days before the course starts (the dead-line for signing up). You will need to pay half the fee if you cancel less than 11 days before the course starts.

Price: 3000 SEK, excl. VAT.

Registration: Just write an email to Metrika Consulting

Instructor:

Nicola Orsini
The National Institute of Environmental Medicine,
Karolinska Institutet, Stockholm, Sweden.
Phone: +46 8 52487837

Course description

This course focuses on application of methods for analyzing longitudinal data (help xt). The feature of longitudinal studies is that measurements taken on the same individuals through time are likely to be correlated. Therefore, we will focus on Stata commands that help to describe changes of the response variable over time, and to take into account the correlation structure among repeated measurements. This type of study design encompasses epidemiological follow-up studies as well as clinical trials. The course covers many well-established methods for the analysis of longitudinal data when the response variable is continuous. Models for binary outcome variables are introduced, but not emphasized.

Participants

An introductory course in biostatistics and a good background in linear regression analysis are prerequisites for this course. Familiarity with Microsoft Windows will be assumed. Students will gain the familiarity with Stata by practicing.

Preliminary outline of the course

Morning session

  • Brief introduction to Stata
  • Feature of longitudinal data
  • Wide and long format
  • Basic descriptive statistics, covariances and correlations
  • Mean response profile analysis

Afternoon session

  • Linear mixed-effects models
  • Intraclass correlation
  • Testing variance components
  • Modeling the change of the response variable
  • Non-linear mixed-effects models
Schedule

  9:00 - 12:00 Morning Session
12:00 - 13:00 Lunch
13:00 - 16:00 Afternoon Session

The students will have their hands on a keyboard with Stata running troughout the learning sessions. Each learning session will give equal weight to tutorials and practical exercises.

Course material

Lecture notes, datasets, exercises, and solutions will be available over the internet for the students.

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