The Centre for Applied Statistics Courses has several courses that may be of value. Please see the details below on the courses available:

**Introduction to Research Methods and Statistics – £750**

** 7th-11th January 2019 **

**14th January-18th March 2019 (10x Monday Evenings) **

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.

**Critical Appraisal – £150**

**3rd December 2018**

**2nd April 2019 **

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 Logistic Regression – £150**

**5th March 2019**

**22nd May 2019**

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 Poisson Regression – £150**

**5th December 2018**

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.

**Introduction to Survival/Time-to-Event Data Analysis – £150**

**27th February 2019**

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.

**Assessing Measurement Reliability and Validity – £150**

**6th March 2019**

**12th June 2019**

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 Bayesian Analysis – £150**

**18th February 2019**

**25th June 2019**

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.

**Chi-square and Beyond for 2×2 Tables – £125**

**28th February 2019**

**11th June 2019**

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 Meta-Analysis (One day) – 1st November 2019 – £150**

**Introduction to Meta-Analysis (Two days) – 1st + 2nd November 2019 – £225**

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 Dealing with Missing Data (One day) – 21st January 2019 – £150**

**Introduction to Dealing with Missing Data (Two days) – 21st+22nd January 2019 – £225**

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 Regression Analysis (One day) – 15th January 2019 – £150**

**Introduction to Regression Analysis (Two days) – 15th +16th January 2019 – £275**

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.

**Sample Size Estimation and Power Calculations with Excel – £175**

**19th February 2019**

**20th May 2019**

**13th-14th March 2019 (Evening)**

This 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.

**Overview of Regressions with R – £250**

**10th-11th December 2019**

**25th-26 February 2019**

This two-day course provides an overview of the most commonly applied types of regression modelling and their application in R.

**ANOVA/GLMs with SPSS – £200**

**29th January 2019**

**2nd July 2019**

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.

**Introduction to SPSS – £200**

**23rd January 2019**

**21st May 2019**

**19th-20th February 2019 (Evening)**

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 – £200**

**29th October 2018**

**14th January 2019**

**28th May 2019**

**29th-30th January 2019 (Evening)**

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.

**Further Topics in R – £200**

**4th December 2018**

**5th February 2019**

**1st July 2019**

This course introduces a number of topics for R for those already familiar with the basics of the programming language, including some of the more advanced R code structures such as conditional commands and loops.

**Introduction to Stata – £200**

**31st October 2018**

**26th March 2019**

**6th June 2019**

**5th-6th March 2019 (Evening)**

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.

Please use the link for more information on these:

https://www.ucl.ac.uk/child-health/short-courses-events/centre-applied-statistics-courses

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