Our BRC runs research method courses to help healthcare professionals design and conduct high quality research studies.  The next set of dates for these sessions will be advertised in September 2018

The courses cover:

  1. Quantitative research methods
  2. Qualitative research methods
  3. General issues in conducting research

These sessions run in spring and autumn each year. The courses are free and only accessible to healthcare professionals employed by the following organisations:

  • Guy’s and St Thomas’ NHS Foundation Trust
  • King’s College Hospital NHS Foundation Trust
  • South London and Maudsley NHS Foundation Trust
  • King’s College London
  • St George’s University of London

How to book

To book onto a session click ‘book online’ next to the session title.  Alternatively, you can download a Booking Form 2018 and email it to BRCTraining@gstt.nhs.uk. Download a BRC Training Course Booklet Spring 2018  here.     All places need to be booked in advance. Please do not attend on the day without prior booking as we hold waiting lists for each session and will fill every available place.

Please note:  Since the programme was started in 2010, the modules have usually been oversubscribed. Unfortunately, the programme has suffered absences without sufficient notice to allow applicants on the waiting list to fill the vacant place.

In order to encourage participants unable to attend to cancel and so enable their place to filled, we have introduced a two-strike rule. This will be triggered if you fail to attend classes that you have booked on two occasions, with any future bookings being cancelled.

We understand that unforeseen clinical work pressures can prevent attendance at short notice, so two instances of non-attendance are permissible before this takes place.

NB We require a minimum of 72 hours’ notice if you are unable to attend.

Quantitative Research Methods

Survival Data AnalysisBook online
This is an introductory/intermediate course for anyone who would like to understand more about time-to-event analysis and related tests that are reported in many medical journals; when are they appropriate to use? The course covers the statistical concepts and methods required for describing and analysing survival data arising in clinical studies. The use of specific statistical packages will not be covered.
Date: Wednesday 14th March
Time: 12:00
Duration: 3 hrs
Speaker: Nick Beckley
Session style: Lecture
Number of places: 20

Linear regression – does the value of one variable predict the value of another?Book online
This is an introductory course for anyone interested in correlation and linear regression. The course will be useful to researchers who need to use correlation and linear regression analysis for data analysis, and for readers of the medical literature who need a better understanding of its meaning. Attendees will also get insights into the workings principles underlying all regression techniques. The use of specific statistical packages will not be covered.
Attendees should attend the introductory sessions on statistics, or have an equivalent level of knowledge, before attending this course.
Date: Friday 12th February
Time: 13:00
Duration: 1.5 hrs
Speaker: Dr Yanzhong Wang
Session style: Lecture
Number of places: 30

Introduction to Statistical Data Management using SPSS Syntax |Fully Booked
High quality datasets are essential for statistical analysis. This course is to introduce quantitative researchers, responsible for their own data collection, to techniques in preparing the final database for analysis. SPSS syntax will be used to illustrate the various techniques
Attendees will be expected to be familiar with using spreadsheets for data entry and have a basic understanding of statistics.
Date: Tuesday 20th March
Time: 09:00
Duration: Session 1 (theory) – 2.5 hours, Session 2 (practical) – 3 hours
Speaker: Bolaji Coker
Venue: Hodgkin Building, Guy’s Hospital
Session style: Lecture & computer practice
Number of places: 15

Data Management using R | Fully Booked
The course is a three-hour practical session and will use the open source R Studio software. It will focus on the R data frame and its manipulation.  Attendees are expected to be familiar with the data collection process using an electronic tool, such as MS Excel.
Date: Tuesday 13th March
Time: 09:00
Duration: 3hrs
Speaker: Bolaji Coker
Venue: Hodgkin Building, Guy’s Hospital
Session style: Lecture & computer practice
Number of places: 15

Descriptive Statistics using R | Fully Booked
This tutorial will explore the ways in which R can be used to calculate summary statistics, including the mean, standard deviation, range, frequencies and proportions. It will also explore some of R’s graphic capabilities and create summary plots such as scatterplots, histograms, bar charts and box and whisker plots.  This tutorial assumes no knowledge of R programming, although attendees will be expected to be familiar with using spreadsheets for data entry and have a basic understanding of statistics
Date: Friday 23rd March
Time: 09:00
Duration: 3hrs
Speaker: Alessandra Bisquera
Venue:
Session style: Lecture & computer practice
Number of places: 15

Estimation and Hypothesis Testing in R | Fully booked
This tutorial will explain how to undertake inferential analyses that is appropriate for different data types, including hands-on experience of preforming t-tests, chi-square tests, linear and logistic regression analyses. This will also include variable selection procedures based on univariate plots, and how to check important model diagnostics through scatter plots and histograms.  It will be assumed that attendees have attended the previous two R-related BRC courses, or have had some exposure to R before.

Date: Wednesday 28th March
Time: 09:00
Duration: 3hrs
Speaker: Nick Beckley
Venue: Hodgkin Building, Guy’s Hospital
Session style: Lecture & computer practice
Number of places: 15

Quantitative data analysis Part 1 & 2Fully Booked
An introduction to basic statistical methods. This is a two part course and attendees should attend both sessions
Date: Wednesday 7th February
Time: 14:00
Duration: 3 hrs
Speaker: Dr Abdel Douiri
Session style: Lecture
Number of places: 30

Quantitative data analysis Part 2 | Fully Booked
An introduction to basic statistical methods. Attendance at part 1 is required before attending part 2.
Date: Thursday 1st March
Time: 09:00
Duration: 3 hrs
Speaker: Dr Salma Ayis
Session style: Lecture
Number of places: 30

Introduction to Critical Appraisal of Quantitative Research | Fully Booked
This module aims to cover the basics of critically appraising quantitative research. It is not intended to cover statistical analyses .
Date: Monday 5th March
Time: 14:00
Speaker: Tom Edge
Session style: Seminar (pre-reading essential)
Number of places: 20
All attendees should read the pre-course reading material, which will be provided prior to the course.

Quantitative Data Analysis: Multivariable Analysis | Fully Booked
Introduction to logistic regression with a particular focus on ‘best practice’ in terms of formulating and reporting statistical models
Date: Thursday 15th February
Time: 09:00
Duration: 3 hrs
Speaker: Dr Salma Ayis
Session style: Lecture
Number of places: 20

Introduction to Meta AnalysisBook Online
An introduction for anyone who is interested in finding out about how evidence from several studies on the same topic can be usefully combined. Concepts are explained through presentation of a real example and no mathematical formulae are presented
Date: Thursday 29th March
Time: 09:00
Duration: 3 hrs
Speaker: Dr Salma Ayis
Session style: Lecture
Number of places: 30

Introduction to SPSSBook Online
This session is an introduction to conducting basic statistical analysis using SPSS. This course is only open to GSTFT staff who do not hold a joint appointment with KCL. If staff hold a joint appointment with KCL they can attend SPSS training sessions organised via ISS [http://www.kcl.ac.uk/iss/training/])
All booking on this course must have attended the 2 parts of the Quantitative Data analysis course or have a good understanding of statistical theory, particularly inferential statistics.
Date: Wednesday 28th February
Time: 09:00
Duration: 7 hrs
Speaker: Dr Derek Cooper
Venue: Hodgkin Building
Session style: Lecture & computer practice
Number of places: 15


Qualitative Research Methods

Introduction to Critical Appraisal of Qualitative Research | Fully Booked
This module aims to cover the basics of critically appraising qualitative research. It is not intended to cover research methods.
Date: Tuesday 27th March
Time: 14:00
Speaker: Emily Russell
Session style: Seminar (pre-reading essential)
Number of places: 20
All attendees should read the pre-course reading material, which will be provided prior to the course.

General Issues in Conducting Research

Evaluation of Diagnostics Tests and Prediction Models | Book Online
This is an introductory course for anyone who is interested in finding out about mathematical tools related to the development of diagnostic and prognostic models in clinical practice.
Date: Friday 16th March
Time: 1300
Duration: 3 hrs
Speaker: Dr Clare Flach
Session style: Lecture
Number of places: 20

Implementing Patient and Public InvolvementBook Online
The course will provide participants with an understanding of the methods to involve users in the various stages of the research process. Participants will be provided with real examples and advice on the key factors to consider when planning and implementing user involvement, for example timescale, budget and objectives.

You must have either attended the introductory course ‘User Involvement in Research’ or attempted user involvement in research on at least one occasion prior to this workshop.
Date: Thursday 8th February
Time: 13:30
Duration: 2.5 hrs
Speaker: Claire O’Neill, Charlotte Kuhlbrandt, Nanik Pursani (patient rep) and Alero Dabor (patient rep)
Session style: Lecture & group work
Number of places: 20

Implementation Science in Healthcare | Book Online
The course will provide participants with a basic understanding of how implementation science, a relatively new but rapidly advancing field, can be applied to accelerate the translation of research findings and thus reduce the evidence-to-practice gap in healthcare.
Date: Friday 9th March
Time: 12:00
Duration: 3 hours
Speaker: Louise Hull
Session Style: Lecture
Number of places: 20

The following sessions available for Guys and St Thomas’ NHS Foundation Trust and Kings College Hospital NHS Foundation Trust staff on searching and appraising resources:

  • Introduction to healthcare databases for NHS staff
  • A hands-on introduction to MEDLINE, CINAHL and other NHS resources, including planning searches
  • Introduction to critical appraisal
    Learn about the different levels of evidence and find out about resources available to help you to critically appraise a piece of research. Includes group discussion of an article.

The above sessions are currently available on request, as one-to-one or group sessions (except critical appraisal which is for groups only).
For further information please see: www.kcl.ac.uk/library/nhs/training