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UCL Great Ormond Street Institute of Child Health

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Stats Courses

Sample size estimation and power calculations

24th May, 2018: This one day course gives the basics of sample size estimation. It will be of use to those embarking on a research project and who are perhaps trying to complete ethics and grant application forms. Both precision and power estimation approaches are covered.

Introduction to R

4th - 5th June, 2018: This course aims to familiarise participants with the R interface and the R language, in order to enable them to conduct statistical analysis; from reading in their datasets to performing mainstream statistical tests.

ANOVA/GLMs with SPSS 

5th June, 2018: This one-day course will introduce delegates to the basic principles of ANOVA, and how to choose, run, interpret, and report a variety of ANOVA models. The course takes a hands-on approach to learning, with SPSS software used for demonstration and practice throughout.

Chi-square and Beyond for 2x2 Tables

6th June, 2018: This course aims to demystify the range of statistics that can be used to summarise the associations between two binary variables. We move on from the standard chi-square test to investigate other options that may yield more useful information.

Introduction to Research Methods and Statistics

11th - 15th June, 2018: This five-day course offers a comprehensive introduction to the fundamental aspects of research methods and statistics. From study design, data types, and graphs, through to choice and interpretation of statistical tests, with particular focus on standard errors, confidence intervals and p-values.

Introduction to R

19th June, 2018: This course aims to familiarise participants with the R interface and the R language, in order to enable them to conduct statistical analysis; from reading in their datasets to performing mainstream statistical tests.

Introduction to Regression Analysis

20th-21st June, 2018: This course provides an overview of different regression types and details the application of multiple linear regression. Day one of the course focuses on the theory behind regression analysis, in particular linear regression, and covers the formulation, interpretation and validation of linear regression models. A second, optional day allows delegates hands-on use of a statistical package (SPSS) to see how the theory can be applied to answer a specific research question.

Introduction to Meta-analysis

25th-26th June, 2018: This course provides an overview of meta-analysis from a statistician’s point of view, with an optional half day workshop in R.

Introduction to Logistic regression

26th June, 2018: This one day course focuses on understanding the principles of logistic regression via the notions of odds/odds ratios and transformations. How good the given model is will be discussed and ways of improving it.

Introduction to Stata

27th June, 2018: This one-day course offers an introduction to the uses and functions of the statistical software Stata including data entry and manipulation, do-files, and the basics of analyses and graphs. The course is ideally suited to those with little/no experience with Stata, but basic knowledge of statistics is advantageous.

Introduction to SPSS

29th June, 2018: This one-day course offers an introduction to the uses and functions of the statistical software SPSS including data entry and editing, and the basics of analyses and graphs. The course is ideally suited to those with little/no experience with SPSS, but basic knowledge of statistics is advantageous.

Introduction to Bayesian Analysis

3rd July, 2018: This one day course focuses on the principles of Bayesian analysis with the aim to enable participants to apply Bayesian methods on their own research and understand other people’s results via Bayesian analysis.