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Regression analysis Course 


"Excellent! I really understood most of the course and felt much more confident with regression analysis after the course. Both presenters were absolutely brilliant. I have stronlgy recommended the course to other PhD students in my division "


"Really well pitched, and makes stats engaging, which is amazing."


"The instructors are superb!"

September 2011

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: 2nd March, 2016) 

When data is collected from 2 binary responses on the same individuals or items, 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 in the table, and 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, and this course aims to help guide the researcher through alternative analyses to decide on the most appropriate investigation of their data.

The following tests and concepts are covered in the course:

  • Fishers exact testing
  • Proportions tests
  • Number needed to treat
  • Relative risk
  • Attributable risk
  • Odds ratio
  • Kappa
  • Sensitivity and specificity
  • Positive and negative predictive values
  • Likelihood ratios
Dates Time Cost Apply
2 March, 2016
10.00am – 4.30pm £110*†  Registration available soon
24 May, 2016
10.00am – 4.30pm
£110*†
Register

*Cost for external participants.

Workbooks, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) are included in the price.

ANOVA/GLMs using SPSS (Next course: 7th December, 2015)

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 and introductory statistics (e.g., p-values, confidence intervals) 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
7 Dec, 2015 10.00am - 4.30pm £150* Click to Register
10 Feb, 2016
10.00am - 4.30pm
£150*
Registration available soon
25 April, 2016
10.00am - 4.30pm
£150*
Click to Register
8 July, 2016
10.00am - 4.30pm
£150
Click to Register

*Cost for external participants.

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

Bayesian Analysis; Introduction to - (Next course: 17th February, 2016) 

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
17 Feb, 2016
10.00am – 4.30pm £125*† Registration available soon

*Cost for external participants.

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

Critical Appraisal - (Next course: 13th October, 2015)

The ability to critically appraise published research is a key skill for anyone involved in using and/or undertaking research. Within this course we discuss the importance of defining a meaningful research question, and the key research factors implicated in answering a research question in an efficient and valid way. The following topics are discussed and are of use when designing your own research study and/or evaluating existing published material:

  • Defining a research question
  • Observational and experimental study designs
  • Sampling and randomisation
  • Bias and confounding
  • Research protocols, checklists and records
  • Competing study designs
  • Displays and analysis of data
  • Common pitfalls in analysis
  • Reporting of results
  • Validity of the results with respect to the research question

Delegates are given the opportunity to examine sample research design and appraisal checklists, and to apply the skills gained throughout the course via practical appraisal activities.

Dates Time Cost Apply
13 Oct, 2015
10.00am – 4.30pm
£125*†
Click to Register
20 Jan, 2016
10.00am – 4.30pm
£125*†
Click to Register
27 April, 2016
10.00am – 4.30pm
£125*†
Click to Register
22 June, 2016
10.00am – 4.30pm
£125*†
Click to Register

*Cost for external participants.

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

Dealing with Missing Data; Introduction to - (Next course: 6th & 8th** October, 2015)

Missing data are very common in research studies, but ignoring these cases can lead to invalid and misleading conclusions being drawn. This workshop provides guidance on how to deal with missing values and the best ways of analysing a dataset that is incomplete.

The course runs over a full day, with an optional second half day for practical application. The first day covers the following topics:

  • Reasons for missing data
  • Types of missing data
  • Simple methods for analysing incomplete data
  • More sophisticated methods of dealing with missing data (simple and multiple stochastic imputation, weighting methods)

On the 2nd, optional, day of the course, the theory of day 1 is put in practice with the use of SPSS (v.17 or later) and real-world datasets; particular emphasis is given to multiple imputation. Delegates attending the second optional day are asked to bring their own laptops with SPSS installed and licenced before the course.

Dates Time Cost Apply
6 & 8** Oct, 2015
10.00am – 4.30pm (**10.00am - 1.00pm**)
£125*† (**£175**)

Register for 1 day

Register for 2 days

16 - 17** March, 2016
10.00am – 4.30pm (**10.00am - 1.00pm**)
£125*† (**£175**)
Links to become available soon
10 - 11** May, 2016
10.00am – 4.30pm (**10.00am - 1.00pm**)
£125*† (**£175**)

Register for 1 day

Register for 2 days

12 - 13** July, 2016
10.00am – 4.30pm (**10.00am - 1.00pm**)
£125*† (**£175**)

Register for 1 day

Register for 2 days

*Cost for external participants

** Second day is optional

Workbooks, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) are included in the price.

Logistic Regression; Introduction to - (Next course: 14th December, 2015)

Binary (proportion/percentage) outcomes are common in medical and scientific research and cannot be validly analysed using basic linear regression analysis. It is important to understand how to analyse these types of outcomes appropriately to ensure useful and valid conclusions are drawn from data. The logistic regression course covers the following key topics:

  • 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
14 December, 2015
10.00am - 4.30pm
£125*†
Click to Register
18 March, 2016
10.00am - 4.30pm
£125*†
Registration coming soon
23 May, 2016
10.00am - 4.30pm
£125*†
Click to Register
21 July, 2016
10.00am - 4.30pm
£125*†
Click to Register

*Cost for external participants.

Workbooks, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) are included in the price.

Multilevel data analysis using R (Next course: TBC)

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
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: 19th October, 2015)

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
19 Oct, 2015
10.00am – 4.30pm
£150*†
Click to Register
13 Jan, 2016
10.00am – 4.30pm
£150*†
Click to Register
21 April, 2016
10.00am – 4.30pm
£150*†
Click to Register
13 June, 2016
10.00am – 4.30pm
£150*†
Click to Register

*Cost for external participants.

Workbooks, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) are included in the price.

Regression Analysis; Introduction to - (Next course: 21st & 22nd October, 2015)

Often in research it is important to look at what factors are associated with, or predict a particular outcome, and to be able to control for the influence of other variables. Regression analysis is the most commonly used statistical technique for analysing this sort of data. This course introduces the principles of regression analysis, with detailed discussion around the most common type of regression model - linear regression. A number of other regression types and the data and study designs for which they are appropriate will also be introduced. The course will cover the following topics:

  • Types of regression and appropriate choice of models
  • 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 concepts discussed throughout the course are generally applicable.

Dates Time Cost Apply
21 - 22 Oct, 2015
10.00am – 3.00pm
175*†
Click to Register
14 - 15 March, 2016
10.00am – 3.00pm
175*†
Registration coming soon
18 - 19 May, 2016
10.00am – 3.00pm
175*†
Click to Register
5 - 6 July, 2016
10.00am – 3.00pm
175*†
Click to Register

*Cost for external participants.

Workbooks, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) are included in the price.

Regressions with R - Overview (Next course: 10th & 11th September, 2015)

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
10 - 11 Sept, 2015
10.00am – 3.00pm £200*† Click to Register
18 - 19 Feb, 2016
10.00am – 3.00pm £200*†  Click to Register
20 - 21 June, 2016
10.00am – 3.00pm
£200*† 
Click to Register

*Cost for external participants.

Workbooks, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) are included in the price.

Sample size estimation and power calculations - (Next course: 15th December, 2015)

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

  • Means
  • Proportions/ percentages
  • Time to event data
  • Rates
  • Measures of agreement
  • Centiles 

Excel sheets to perform the calculations are provided via an online course.
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
15 Dec, 2015
10.00am – 4.30pm
£140*†
Click to Register
9 March, 2016
10.00am – 4.30pm
£140*†
Registration available soon
3 May, 2016
10.00am – 4.30pm
£140*†
Click to Register
15 June, 2016
10.00am – 4.30pm
£140*†
Click to Register

*Cost for external participants.

Workbooks, use of local computers, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) are included in the price.

SPSS; Introduction to - (Next course: 15th October, 2015)

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. No prior knowledge of SPSS is assumed but some knowledge of basic statistics (e.g., p-values, significance tests) is advantageous.

The course 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
15 Oct, 2015
10.00am - 4.30pm
£150*†
Click to Register
12 Jan, 2016
10.00am - 4.30pm
£150*†
Click to Register
20 April, 2016
10.00am - 4.30pm
£150*†
Click to Register
14 June, 2016
10.00am - 4.30pm
£150*†
Click to Register

*Cost for external participants.

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

Statistics and Research Methods; Introduction to - (Next course: 14-18 September, 2015)

This is a basic introductory course in research methodology and statistical analyses that covers a comprehensive range of topics for individuals who are new to quantitative research. This is a theory-led course, but delegates are given plenty of opportunities to apply the concepts via practical and interactive activities integrated throughout the course. During the 5 days of the course, the following topics are covered:

  • Introduction to quantitative research
  • Research question development
  • Study design, sampling and confounding
  • Types of data
  • Graphical displays of data and results
  • Summarising numeric and categorical data
  • Numeric and categorical differences between groups
  • Hypothesis testing 
  • Confidence intervals and p-values 
  • Parametric statistical tests
  • Non-Parametric tests
  • Reliability and Validity
Dates Time
Cost
Apply
14 to 18 Sept, 2015
10.00am - 4.30pm
£750**†
Click to Register
18-19 + 27-29 Jan, 2016
10.00am - 4.30pm
£750**†
Click to Register 
11 to 15 April, 2016 10.00am - 4.30pm
£750**†
Click to Register
6 to 10 June, 2016
10.00am - 4.30pm
£750**†
Click to Register

**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/GOSH participants; 12.45pm – 1.45pm) for every day are included in the price.

Survival Analysis; Introduction to - (Next course: 17th December, 2015) 

Survival/time-to-event analysis is used for modelling and predicting the time taken to reach a specific event/outcome (e.g., death, hospital discharge or readmission, saturation, task completion, etc.). Specifically, this analysis is appropriate when not every case in the data reaches the given event. This workshop gives an introduction to time-to-event (survival) data for non-statisticians, and covers the following topics:

  • Use of Kaplan-Meier plots
  • Life tables
  • Cox regression analyses
  • Interpretation of SPSS output
Dates Time Cost Apply
17 Dec, 2015
10.00am - 4.30pm
£125*†
Click to Register
6 April, 2016
10.00am - 4.30pm
£125*†
Registration available soon


*Cost for external participants.

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

Validity and Reliability- (Next course: 8th December, 2015) 

Understanding and assessing reliability and validity are important when developing and using new tests and measurement tools. This course gives an introduction to the concepts of reliability and validity, how the two are associated, and the methods commonly used for assessing these factors in different data types and study designs. Knowledge of basic statistical concepts (e.g., p-values, confidence intervals) is beneficial for this course. The following topics with be covered during this one-day course:

  • Types of validity
  • Assessing validity of numeric and categorical outcomes
  • Types of reliability
  • Assessing reliability for numeric outcomes
  • Bland-Altman Limits of Agreement
  • Intraclass Correlation
  • Assessing reliability for categorical outcomes
  • Kappa
  • Internal reliability of assessment measures
  • Correlation
Dates Time Cost Apply
8 December, 2015
10.00am - 4.30pm £125*† Click to Register
24 Feb, 2016
10.00am - 4.30pm £125*† Registration available soon
9 May, 2016
10.00am - 4.30pm
£125*†
Click to Register
7 July, 2016
10.00am - 4.30pm
£125*†
Click to Register


*Cost for external participants.

Workbooks, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm) 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