Logistic regression using Stata®


Last update: July 5, 2009

Organizer: Metrika Consulting

Date: Saturday October 3, 2009

Place: Stockholm

Language: English

Deadline: Sign up before September 28, 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 introduces participants to the practice and application of logistic regression modeling for binary outcomes. Participants will fit, evaluate, and interpret binary data models. Topics include assessment of confounding and effect modification, use of indicator variables, model building methods, goodness-of-fit assessment, presentation of logistic regression models for reports and publications. Datasets from the medical and public health literature will be used as case studies to be analyzed using the Stata® statistical package.

Participants

The course is intended for anyone who wishes or needs to use Stata. Basic knowledge of Stata and statistics is ideal. Familiarity with Microsoft Windows will be assumed. Students will gain the familiarity with Stata by practicing.

Preliminary outline of the course

Morning session

  • Descriptive statistics and contingency tables
  • Confidence interval for the risk of the disease
  • Point and interval estimates based on the model
  • Plot of the risks and ratios of risks
  • Testing hypothesis (Wald and likelihood based)

Afternoon session

  • Modeling categorical and continuous predictors
  • Building multivariable logistic regression models
  • Goodness of fit
  • Evaluate confounding effects
  • Test for interaction and graphical representation
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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