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Mon 10 Apr - Tue 11 Apr 2017
14:15, ...

Venue: Phoenix Teaching Room

Provided by: University Information Services


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R: Regression Analysis in R
Prerequisites

Mon 10 Apr - Tue 11 Apr 2017

Description

This course is for new users who have learnt how to get data into R already, and know how to operate basic syntax. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard R procedures. Guidance will also be provided on further addons that may be of interest.

Prerequisites
  • Working knowledge of R
  • Familiarity with simple statistical concepts
Sessions

Number of sessions: 2

# Date Time Venue Trainer
1 Mon 10 Apr 2017   14:15 - 17:00 14:15 - 17:00 Phoenix Teaching Room Dr T.J. Croudace
2 Tue 11 Apr 2017   09:30 - 13:00 09:30 - 13:00 Phoenix Teaching Room Dr T.J. Croudace
Topics covered
  • Linear regression for continuous outcomes
  • Bootstrapping standard errors
  • Logistic regression
  • Logistic regression for clustered data
  • Ordinal regression for multi-category outcomes that can be ordered
  • Logit and probit models
  • Nominal regression (in brief) for unordered multicategory outcomes
  • Categorical covariates using xi:
Format

Presentations, demonstrations and practicals.

System requirements

R v. 2.9.1 on PWF Windows

Notes

DEP 22/4/2010 CNCLD DUE TO TRAINER NOT BE AVAILABLE.

Duration

Two half day sessions

Themes

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