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Outline of workshop:

When data is collected from 2 binary responses on the same individuals or items then the data may be displayed as a 2x2 table. It is often of interest to determine whether there is some form of association between the two variables. The chi-squared test is most commonly used by researchers to do this. However, there are many other statistics that may be applied to a 2x2 table to provide more useful information. The aim of this workshop is to guide the researcher through alternatives to decide on the most appropriate investigation of their data.

*Cost for external participants. Workbooks, refreshments and lunch vouchers for non-ICH participants (12.45pm - 1.45pm) are included in the price.

Outline of workshop:

This course aims to familiarise the audience with the concepts of Bayesian analysis. Its basic principles (e.g. Bayes theorem) will be explained and how these are embedded in the medical science and research. By the end of this workshop, students should be able to understand and critically evaluate published research that has used Bayesian analysis as well as be confident to implement Bayesian concepts in their own research.

*Cost for external participants. Workbooks, refreshments and lunch vouchers for non-ICH participants (12.45pm - 1.45pm) are included in the price.

Outline of workshop:

The ability to critically appraise published research is a key skill for all researchers. In this workshop we discuss the importance of defining the research question and the collection and evaluation of research to answer the question as posed. Checklists are introduced and their implementation in the evaluation of individual papers illustrated. Participants will be given papers to evaluate in a practical session.

*Cost for external participants. Workbooks, refreshments and lunch vouchers for non-ICH participants (12.45pm - 1.45pm) are included in the price.

Outline of workshop:

Missing data are very common in research studies. By ignoring missing values invalid conclusions may be drawn. This workshop tries to provide guidance on how to deal with missing values and the best ways of analysing a dataset that is incomplete.

Reasons for missing data, types of missing data (‘missing completely at random’, ‘missing at random’ and ‘missing not at random’), simple, ad-hoc analysis methods (‘analysis of completers’, ‘pairwise deletion’, ‘imputation of simple mean’, ‘imputation of regression mean’, ‘dummy variables adjustment’) and more complex methods (‘simple and multiple stochastic imputation’, ‘weighting methods’) are described and discussed.

*Cost for external participants. Workbooks, refreshments and lunch vouchers for non-ICH participants (12.45pm - 1.45pm) are included in the price.

** Second day is optional

Binary (proportion/percentages) outcomes are common in medical and scientific research. This course covers:

- odds ratios as a means of comparing binary outcomes between two groups
- how logistic regression allows for other factors within this comparison
- the basics of logistic regression
- model selection and goodness-of-fit with examples from a variety of applications
- interpretation of SPSS output
- discussion of extension to the analysis of ordinal outcomes

*Cost for external participants. Workbooks and refreshments are included in the price.

Outline of workshop:

There are many types of regression analysis. The most known is mean regression, which includes Gaussian, binomial, and Poisson regression. This is an introductory course to quantile regression, where the target of the inference are the quantiles (e.g., the median or the 95th percentile) of the outcome distribution. Quantile regression, as opposed to mean regression, is distribution-free and robust to outliers.

Topics include:

- brief recap of basics in probability (random variables, measurement scales, summary statistics)

- recall of mean regression

- quantiles of a distribution

- quantile regression for continuous distributions: estimation, inference and model assessment

- interquantile range regression: analysis of heteroscedasticity (i.e., nonconstant variance) and shape of a distribution

- Stata commands for quantile regression and interpretation of output

- R commands for quantile regression

Familiarity with probability and regression analysis is expected from the delegates, although a brief recap of the basics will be provided.

*Cost for external participants. Lunch for non-ICH participants (12.45pm - 1.45pm), workbooks and refreshments are included in the price.

Outline of workshop:

This course is aimed to researchers that want to learn how to use the statistical software R in order to conduct statistical analysis. Delegates will be expected to bring their own laptops with R installed (step-by-step installation guidelines will be sent to all participants 2 weeks before the course). Moreover delegates will be expected to have a basic understanding of common statistical tests and concepts as these will not be taught during this workshop. The topics covered using R will include:

- Input of data sets
- Summary measures
- Graphical displays
- Statistical tests (parametric and non-parametric)
- Add-ons and packages in R
- Help in R And time permitting (notes will be given regardless):

- Regression analysis
- Sample size and power calculations

*Cost for external participants. Workbooks, refreshments and lunch vouchers for non-ICH participants (12.45pm - 1.45pm) are included in the price.

Outline of workshop:

This workshop introduces various forms of regression and their usage:

- multiple linear regression (discussed in detail)
- interpretation of SPSS outputs
- choice of model
- assessing adequacy of model fit
- identification of outliers The course will be of use to users of alternative statistical packages as the issues covered are of generally applicable.

*Cost for external participants. Workbooks and refreshments are included in the price.

Outline of workshop:

This is a basic course in medical statistics that covers the following topics:

- introduction, types of data and graphical displays
- summarising data
- reliability and validity
- confidence intervals and p-values
- hypothesis testing
- proportions
- non-parametric tests
- categoric data
- confounding factors

**Cost for external participants; £650 early-bird fee if registered one month or more in advance. Workbooks, CD and every day refreshments and lunch vouchers for non-ICH participants (12.45pm – 1.45pm) are included in the price.

Outline of workshop:

The concepts of sample size estimation are introduced. Both precision and the traditional power calculations are covered. Sample size estimation for:

- means
- proportions/ percentages
- time to event data
- rates
- measures of agreement
- centiles Excel sheets to perform the calculations are provided on a take-home CD.
This workshop will take place in a computer room where applicants will have the opportunity to use the computers provided in order to gain full benefit from the workshop practical exercises that utilize the excel sheets.

*Cost for external participants. Workbooks, CD and use of local computers are included in the price.

Outline of workshop:

This course is aimed at professionals who want to be able to understand the fundamental principles of statistics and to be able to conduct their own analyses. The latter will be explored via the use of the free statistical software R. Topics that will be covered are as follows:

- overview of quantitative research study designs
- types of data
- graphical displays
- summarising data
- confidence intervals
- hypothesis testing (parametric and non-parametric tests)
- p-values
- analysis of variance
- regression analysis (time permitting – notes will be provided regardless) Delegates will be expected to bring their own laptops with R installed (step-by-step installation guidelines will be sent to all participants 2 weeks before the course).

This course is a combination of the Introduction to Research Methods and Statistics and Introduction to R for Statistical analysis courses. Individuals are advised to attend either this 3 day course or the 5 day and 1 day courses.

*Cost for external participants. Workbooks, refreshments and lunch vouchers for non-ICH participants (12.45pm - 1.45pm) are included in the price.

Outline of workshop:

This workshop gives an introduction to time to event (survival) data for the non-statistician, covering:

- use of Kaplan-Meier plots
- life tables
- Cox regression analyses
- interpretation of SPSS output

*Cost for external participants. Workbooks and refreshments are included in the price.