Epidemiology with Stata®



Last update: June 25, 2008

Organizer: Metrika Consulting

Date: Saturday October 18, 2008

Place: Stockholm

Language: English

Deadline: Sign up before October 4, 2008

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 is designed to introduce participants to basic commands useful in epidemiologic research (cumulative-incidence, case-control and incidence rate data). Specific topics include tables (epitab), evaluation of confounding and interactions, and common regression models (binreg). By the end of this one-day course, the participants will be more familiar with epidemiologic methods using Stata®.

Participants

The course is intended for anyone who wishes or needs to use Stata® for epidemiologic research. No previous knowledge of Stata or of statistics is required, although familiarity with Microsoft Windows will be assumed. Students will gain the familiarity with Stata by practicing.

Preliminary outline of the course

Morning session

  • Let's get started with Stata interface and windows
  • Tables for epidemiologists (cumulative-incidence, case-control and incidence rate data)
  • Measures of associations (odds ratio, rate ratio, risk ratio)
  • Assessing confounding of exposure-disease associations
  • Stratified analysis
  • Assessing statistical interaction between factors

Afternoon session

  • Introduction to binomial regression model
  • Logistic regression (odds ratio)
  • Poisson regression (rate ratio)
  • Log-binomial regression (risk ratio)
  • Interpretation of the regression coefficients of continuous and categorical covariates
  • Assessing confounding and testing interactions using regression 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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