Introduction to Statistics and Regressions with R
Date:
13/08/2018 - 17/08/2018
Organised by:
UCL Great Ormond Street Institute of Child Health
Presenter:
Prof Angie Wade
Level:
Entry (no or almost no prior knowledge)
Contact:
Patricia John
+44 (0)207 905 2768
Description:
Participants will be introduced to the fundamental principles of statistics and to ways of conducting their own analysis, including significance tests and regression techniques. The excellent free software Rstudio will be introduced and used for all practical aspects of the course which is a user-friendly interface for R. In more detail, this summer school will cover:
- An overview of quantitative research study designs
- Types of data
- Graphical displays
- Summaries of data
- Confidence intervals
- Hypothesis testing (parametric and non-parametric tests)
- p-values
- Regression analysis (including linear regression, logistic regression, ordinal logistic regression, poisson regression, and negative binomial regression)
Neither prior knowledge of R (or similar software) nor statistical analysis is required.
The course will take place in a cluster room, with access to a computer and all the required software. Delegates are welcome to bring their own laptops if preferred (access to the UCL Guest network will also be provided), but everyone wishing to bring their own computer should ensure Rstudio is installed before attending (installation guidelines will be made available two weeks before the course).
Cost:
Early bird £1500.00
Normal price £1800.00
Website and registration:
http://www.ucl.ac.uk/stats-courses
Region:
Greater London
Keywords:
Data Collection, Research Skills, Communication and Dissemination, Research Skills, Communication and Dissemination (other), Regression analysis
Related publications and presentations:
Data Collection
Research Skills, Communication and Dissemination
Research Skills, Communication and Dissemination (other)