Short Courses & Events
28-29th Sept, 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.
3rd Oct, 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.
9th Oct, 2017: 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.
11th Oct, 2017: This course introduces a number of topics for R for those already familiar with the basics of the programming language.
12th Oct, 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.
24th Oct, 2017: This one-day course introduces regression methods that are appropriate to analyse count or rate data. Poisson regression is used to determine associations between a count/rate outcome and a number of predictor variables. More flexible extensions of the poisson regression, quasi poisson and negative binomial regressions, are also introduced and explained.
25th Oct, 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.
26-27th Oct, 2017: This course provides an overview of meta-analysis from a statistician’s point of view, with an optional half day workshop in R.
30th-31st Oct, 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.
1st Nov, 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.
15th Nov, 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.
28th Nov, 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.
29th Nov, 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.
4th-5th Dec, 2017: This two half-day course provides an overview of the most commonly applied types of regression modelling and their application in R.
11th Dec, 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.