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Data linkage Course

"I thought the course was very interesting and clear and it make what can be a very complicated area clear and easy to follow. I took a lot from it and the course definitely gave me a lot to think about."


"Excellent course. Everything expalined very well and in sufficient detail. Practical exercise very good."


"Though the focus is on medics and medical senarios, the overall knowledge and practical sessions are equally useful for all other areas of reaserch and analysis. Great way to earn wealth of experience within a short period of time. Grateful for friendly and supportive teaching panel."


"Excellent. Well-paced and explained. Very clear introduction to the topic, this should be standard for all courses to give the context of the statistical method to be applied. The length of the computer practical was appropriate, not too complicated and with the chance to apply the methods. 

The pace felt unhurried and with plenty of time to ask questions and think about what had been covered. 

Many thanks."

July 2012


Future courses

Please be advised that these statistics courses have proved very popular, so make sure that you book your place as soon as possible. 

Note that UCL members of staff or students are entitled to 50% discount. ICH/GOSH members of staff and ICH research students are not required to pay.

Please select a statistics course from the list below (in alphabetic order) for more details.

Analysing a 2x2 table  - (Next course: 18 June 2014) 

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.

Dates Time Cost Apply
Wednesday 18 June 2014 10.00am – 4.30pm £110*† 
Register
Futures dates      
TBC 10.00am – 4.30pm £110*†   Link to become live shortly

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

ANOVA/GLMs using SPSS (Next course: 11 June 2014) - NEW COURSE!!

Analysis of Variance (ANOVA) is a branch of statistical analysis used for comparing numerical data between groups and categories, with the flexibility to increase model size and complexity, and control for other numeric variables. The underlying principles of ANOVA are introduced and the extensions and applications of this type of statistical analysis are discussed.

This is a practical course that takes a hands-on look at the types of ANOVA models available in SPSS within the General Linear Model (GLM) function. The structure, application and interpretation of the following models will be covered:

  • One-way ANOVA
  • Factorial ANOVA
  • Univariate ANOVA
  • Multivariate ANOVA
  • Repeated measures ANOVA

The conceptual basis of this course is applicable to other statistical packages, but practical elements of the course are conducted using SPSS and example datasets are provided for all delegates to perform analyses on. Basic knowledge of SPSS is desirable

The course will take place in a cluster room, with access to a computer and version 21 of SPSS throughout the day. Delegates are welcome to bring their own laptops if preferred, but everyone wishing to bring their own computer should ensure the software is licenced before attending. Where possible, we recommend using a recent version of SPSS (e.g., 19-21) for maximum compatibility with the notes provided during the course.

Dates Time Cost Apply
Wednesday 11 June 2014 10.00am – 4.30pm £75*†(introductory price) Register
Future dates      
TBC 10.00am – 4.30pm £150*† Link to become live shortly

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

Bayesian Analysis; Introduction to - (Next course: 16 June 2014) 

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.

Dates Time Cost Apply
Monday 16 June 2014 10.00am – 4.30pm
£125*† Register
Future dates      
TBC 10.00am – 4.30pm £125*† Link to become live shortly

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

Critical Appraisal - (Next course: TBC)

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.

Dates Time Cost Apply
TBC 10.00am – 4.30pm £125*† Link to become live shortly

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

Data linkage; Introduction to (Next course: TBC)

This is a course run by Katie Harron. For more information about Katie please visit the "About us" tab of the homepage. 

This short course is designed to give participants a practical introduction to data linkage and is aimed at researchers either intending to use data linkage themselves or to analyse linked data. Examples of the uses of data linkage, data preparation, methods for linkage (including deterministic and probabilistic approaches) and issues for the analysis of linked data are covered. The main focus of this course will be health data, although the concepts will apply to many other areas.

This course includes a practical example involving data to be linked, to enable participants to put theory into practice. Participants will need to bring their own laptops with software Link Plus installed on them. This is developed by Centers for Disease Control and Prevention (CDC) and is freely available from  http://www.cdc.gov/cancer/npcr/tools/registryplus/lp_tech_info.htm

On completing the course, participants will

  • Understand the background and theory of data linkage methods
  • Perform deterministic and probabilistic linkage
  • Evaluate the success of data linkage
  • Appropriately report analysis based on linked data
Dates Time Cost Apply
TBC 10.00am – 3.45pm £125*† 
Link to become live shortly

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

Dealing with Missing Data; Introduction to - (Next course: 4 (**5**) June 2014)

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.

On the 2nd, optional, day of the course, the theory is put in practice with the use of SPSS (v.17 or later) and real life datasets with particular emphasis on multiple imputation. Delegates are asked to bring their own laptops if they have SPSS installed on them and to share with others that do not have SPSS.  

Dates Time Cost Apply
Wednesday 4 **Thursday 5**) June 2014 10.00am – 4.30pm
(**10.00am - 1.00pm**)
£125*† (**£175**) Register 1 day
Register 2 days
Future dates      
TBC  10.00am – 4.30pm (**10.00am - 1.00pm**) £125*† (**£175**) Link to become live shortly

*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

Logistic Regression; Introduction to - (Next course: 15 May 2014)

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 and nominal outcomes

Dates Time Cost Apply
Thursday 15 May 2014 10.00am - 4.30pm £125*† Register
Future dates      
Friday 11 July 2014 10.00am - 4.30pm £125*† Register
TBC 10.00am - 4.30pm £125*† Link to become live shortly

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

Multilevel data analysis using R (Next course: 29 May 2014)

This is a NEW course run by George Michaelides. For more information about George please visit the "About us" tab of the homepage. 

The aim of this workshop is to provide an introduction to multilevel research design and data analysis using the R statistical environment. This workshop will enable participants to

(a) develop an understanding of multilevel research and appreciate the potential of multilevel modelling for theory development 

(b) better understand published research that uses multilevel techniques

(c) use the R statistical environment to analyse their own multilevel models (via libraries: nlme and lme4)

The workshop is intended for anyone interested in data analysis of multilevel data (e.g. school-classroom-student or hospital-ward-patient). Participants are not required to have any prior knowledge of multilevel modelling but some knowledge of basic statistical techniques (primarily linear regression) and the R statistical environment is required. 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).

Dates Time Cost Apply
Thursday 29 May 2014 10.00am – 4.30pm £150*† 
Register
Future dates:      
TBC 10.00am – 4.30pm £150*† Link to become live shortly

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

R; Introduction to - (Next course: 28 May 2014)

This course is aimed to researchers that want to learn how to use the statistical software R. 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:

- Understanding R's syntax
- Input of data sets
- Summary measures
- Graphical displays
- Statistical tests (parametric and non-parametric)
- Add-ons and packages in R
- Help in R

Dates Time Cost Apply
Wednesday 28 May 2014 10.00am – 4.30pm £150*† Register - No GradSchool places left
Future dates      
Monday 14 July 2014 10.00am – 4.30pm £150*† Register
TBC 10.00am – 4.30pm £150*† Link to become live shortly

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

Regression Analysis; Introduction to - (Next course: 12+ 13 May 2014)

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.

Dates Time Cost Apply
Monday 12 & Tuesday 13 May 2014 10.00am – 3.00pm  175*†  Register
Future dates      
Wednesday 9 & Thursday 10 July 2014 10.00am – 3.00pm 175*†  Register
TBC 10.00am – 3.00pm 175*†  Link to become live shortly

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

Regressions with R - Overview (Next course: 24+25 July 2014)

This course will provide an overview of the application of the following types of regression in R via the use of libraries lm, glm, gamlss and others. Ways of performing model fitting, model diagnostics, predictions and relevant graphical displays will be shown.

The course is suitable for those who are able to use R to perform basic data manipulations and produce summary tables and graphs (these skills are taught on our 1 day R course – Introduction to R). Additionally, delegates will be expected to have a basic understanding of common statistical tests and concepts (such as p-values and confidence intervals) as these will not be taught during this workshop (these are taught on our 5 day course – Introduction to statistics and research methods or alternatively the 1 day R and the 5 days statistics courses are combined in the 3 days course Introduction to statistics with R). 

  • Linear regression
  • Logistic regression
  • Ordinal logistic regression
  • Poisson regression
  • Negative Binomial regression
  • Survival/Cox-proportional hazards

The course will take place in a cluster room, with access to a computer and R. Delegates are welcome to bring their own laptops if preferred (access to the UCL Guest network will also be provided), but everyone wishing to bring their own computer should ensure R is installed before attending (step-by-step installation guidelines will be made available to all two weeks before the course).

Dates Time Cost Apply
Thursday 24+Friday 25 July 2014 10.00am – 3.00pm
£200*†
Register
Future dates:      
TBC 10.00am – 4.30pm £200*†  Link to become live shortly

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

Sample size estimation and power calculations - (Next course: 22 May 2014)

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.

Dates Time Cost Apply
Thursday 22 May 2014 10.00am – 4.30pm £140*†
Register
Future dates:      
Thursday 23 July 2014 10.00am – 4.30pm £140*† Register
TBC 10.00am – 4.30pm £140*† Link to become live shortly

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

SPSS; Introduction to - (Next course: 21 May 2014) 

This is a practical course that will introduce delegates to SPSS and its uses for statistical analysis through hands-on experience. The course is suitable for individuals who are new to SPSS or who feel they would benefit from a refresher course, and will cover the following topics:

  • Getting started with SPSS files
  • Data entry: manually and from excel
  • Editing and organising datasets
  • SPSS options and functions
  • Descriptive statistics
  • Graphical displays
  • Parametric significance tests
  • Nonparametric significance tests


The course will take place in a cluster room, with access to a computer and version 21 of SPSS throughout the day. Delegates are welcome to bring their own laptops if preferred, but everyone wishing to bring their own computer should ensure the software is licenced before attending. Where possible, we recommend using a recent version of SPSS (e.g., 19-21) for maximum compatibility with the notes provided during the course.

Dates Time Cost Apply
Wednesday 21 May 2014 10.00am - 4.30pm
£150*† Register
Future dates      
Tuesday 15 July 2014 10.00am - 4.30pm  £150*† Register
TBC 10.00am - 4.30pm  £150*† Link to become live shortly

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

Statistics and Research Methods; Introduction to - (Next course: 28 April - 2 May 2014 - FULL)

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

Dates Time Cost Apply
Monday 28 April to Friday 2 May 2014 10.00 am - 4.30 pm £750**† FULL - Register for waiting list ONLY
Future dates:      
Monday 30 June to Friday 4 July 2014 10.00 am - 4.30 pm £750**† Register
TBC 10.00 am - 4.30 pm £750**† Link to become live shortly


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

Statistics with R; Introduction to - (Next course: TBC)

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.

Dates Time Cost Apply
TBC 10.00am – 4.30pm £400*†  Link to become live shortly

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

Survival Analysis; Introduction to - (Next course: TBC) 

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

Dates Time Cost Apply
TBC 10.00am - 3.00pm £100*† Link to become live shortly


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

  • An overview of all statistics courses can be found at the 'Overview' tab at the homepage.

Page last modified on 11 feb 14 13:34