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Instructor-led course

Provided by: University Computing Service



2012


2015


2019



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Events available

Stata for Regression Analysis
Prerequisites


Description

This course is for new users who have learnt how to get data into Stata, and know how to operate basic syntax having completed the Basics course or through self-study with the student version or manuals. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard Stata procedures. Guidance will also be provided on further addons that may be of interest.

Prerequisites
  • Working knowledge of Stata basics as covered on the Part 1 & 2 course.
  • Familiarity with simple statistical concepts.
Topics covered
  • Linear regression for continuous outcomes
  • Logistic regression
  • Logistic regression for clustered data
  • Ordinal regression for multi-category outcomes that can be ordered
  • Logit and probit models
  • Categorical covariates using xi:
Format

Presentations, demonstrations and practicals.

System requirements

Stata IC v. 10 PWF Windows

Notes
  • This course does include some guidance on statistics, not purely software use.
  • Practicals will be run on PCs using Stata for Windows.
Duration

Two half day sessions

Themes

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