UCL Great Ormond Street Institute of Child Health


Short Courses & Events

Stats Courses

Introduction to Research Methods and Statistics

5-9th June, 2017: 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 SPSS

13th June, 2017: 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 R

14th June, 2017: This one day 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.

Critical Appraisal

15th June, 2017: In this one day workshop we consider how to critically appraise research papers. Each section in a paper is covered in turn and there is much emphasis on evaluating the collection and analysis of data as described by the authors. Widely available critical appraisal sheets are discussed.

Introduction to Bayesian Analysis

19th June, 2017: 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.

Analysis of 2x2 Tables

20th June, 2017: This workshop 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.

Overview of Regressions with R

26th-27th June, 2017: This two half-day course provides an overview of the most commonly applied types of regression modelling and their application in R.

Introduction to Survival/Time-to-event Data Analysis

29th June, 2017: This one-day course introduces the concept of modelling time-to event data, commonly known as survival analysis. Log-rank tests and Cox proportional hazard regression models are used to determine associations between different factors and the event occurring.

Introduction to Dealing with Missing Data

4th & 5th July, 2017: This course looks at the problem of missing data in research studies in detail. Reasons and different types of missing data are discussed as well as bad and good methods of dealing with them.

Sample size estimation and power calculations

7th July, 2017: 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.

Further Topics in R

10th July, 2017: This course introduces a number of topics for R for those already familiar with the basics of the programming language.

Introduction to Meta-analysis

12-13th July, 2017: 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 Regression Analysis

26-27th July, 2017: 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.