Linear regression using Stata®


Last update: November 11, 2008

Organizer: Metrika Consulting

Date: Friday January 30, 2009

Place: Stockholm

Language: English

Deadline: Sign up before January 23, 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

The course introduces participants to the practice and application of linear regression modeling. Participants will learn how to estimate a model, test coefficients, and graph the findings with emphasis on the interpretation of the coefficients of both continuous and categorical predictors. Model building, goodness of fit, and appropriate regression diagnostics will be discussed.

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 correlation
  • Confidence interval for the mean response
  • Simple linear regression model
  • Two-way graphs
  • Point and interval estimates based on the model
  • Testing hypothesis (Wald and likelihood based)

Afternoon session

  • Modeling categorical predictors
  • Multiple regression models
  • Assessment of fit, diagnostics, and influential Observations
  • 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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