Short Courses & Events
22nd Jan, 2018: This one day course focuses on understanding the principles of Latent Class Analysis via the concepts and parameters estimated. How to decide on the number of latent classes, and interpretation of the model parameters will be discussed.
22nd-23rd Jan, 2018: 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.
23rd-24th Jan, 2018: 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.
26th Jan, 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.
29th Jan, 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.
30th Jan, 2018: This course introduces a number of topics for R for those already familiar with the basics of the programming language.
1st Feb, 2018: 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.
5th Feb, 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.
6th Feb, 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.
12th - 16th Feb, 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.
19th Feb, 2018: 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.
26th Feb, 2018: 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 Feb, 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.
1st-2nd Mar, 2018: This course provides an overview of meta-analysis from a statistician’s point of view, with an optional half day workshop in R.
5-6th March, 2018: This two half-day course provides an overview of the most commonly applied types of regression modelling and their application in R.