UCL Great Ormond Street Institute of Child Health


Short Courses & Events

Short Courses & Events

Further Topics in R

29th March, 2017: This course introduces a number of topics for R for those already familiar with the basics of the programming language.

Continuing Education Programme in Nephrology and Urology Week

3 – 7 April 2017
This 4 and half day course covers the major topics in Paediatric Nephrology and Urology. The course will be of interest to trainees and consultant-level physicians and surgeons involved in the care of children with kidney and lower renal tract disorders. Attendees can attend the whole week or individual days.

Critical Appraisal

4th April, 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 Dealing with Missing Data

5th & 6th April, 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.

Introduction to Meta-analysis

6-7th April, 2017: This course provides an overview of meta-analysis from a statistician’s point of view, with an optional half day workshop in R.

Sample size estimation and power calculations

10th April, 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.

Introduction to Research Methods and Statistics

24-28th April, 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 R

3rd May, 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.

Introduction to SPSS

4th May, 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 Regression Analysis

8th-9th May, 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.

Assessing Measurement Reliability and Validity

11th May, 2017
This one-day course offers an introduction to the principles, methods of assessment, and the appropriateness of statistical analyses for different types of measurement validity and reliability. Particular focus is given to statistical assessment of reliability over time, context and rater.

Introduction to Logistic regression

12th May, 2017: 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.

Paediatric Dysphagia Videofluoroscopy Swallow Study Course

23 May 2017
The day will consist of an introductory presentation to take delegates through the analysis form which will then be used in themed workshops led by GOSH SLTs.  It is anticipated that delegates attending the day will have had some previous experience and/or training in analysing studies. 


23rd May 2017: 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.

Multilevel Data Analysis using R 

25th May, 2017: The aim of this workshop is to provide an introduction to multilevel research design and data analysis using the R statistical environment..

Coeliac disease and gluten-related disorders: A Clinical Update

2 June 2017
This study day will provide you with the tools and information needed to have a thorough understanding of paediatric gluten related disorders, through a series of lectures, such as the clinical picture, genetics, epidemiology of Coeliac Disease as well as information on gluten and the brain gut axis.

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.