Course dates: 26 - 30 June 2023
The course will have a hybrid format and students can choose to attend in person in London or online. Offer holders will be required to confirm before the course start date whether they are planning to attend online or in person.
LSHTM understands this is an uncertain time and rules around international travel could change at very short notice. We strongly advise candidates that choose to attend the course in person in London to only book refundable tickets and accommodation, and to ensure you have checked and comply with all UK entry requirements.
The course will have a hybrid format and students can choose to attend in person in London or online.
This course will provide attendees with a clear understanding of how to design and analyse cluster randomised trials and stepped wedge trials. Cluster randomised trials and stepped wedge trials are increasingly used to evaluate health and social interventions. This course will cover all aspects of designing and analysing these trials. This includes the rationale for using these designs, specific design issues, the randomisation process, sample size calculations, analytical methods, ethical considerations, trial reporting, and interpretation. We will include case studies from low, middle and high-income settings. Participants will gain practical experience of data analysis using the computer package Stata.
Who is this course for?
We require students to have a working knowledge of standard statistical methods used in epidemiological analyses (e.g. linear, Poisson and logistic regression) and of clinical trials. The course is taught in Stata. Detailed explanations of how to implement the methods in Stata will be provided, but applicants should have basic knowledge of Stata. Applicants should have a good command of English.
This short course is studied on a full-time basis for one week. The course will have a hybrid format and students can choose to attend in person in London or online. Most participants should expect to spend approximately 7 hours a day on the course. Further details are given on the course objectives tab.
There will be no formal assessment, but participants will receive a Certificate of Attendance.
- £1,490 full fee
- £745 for LMICs (eligible countries)
When applying for discounted fees, please include proof of LMIC status instead of your CV. LMIC status can be confirmed with a passport and proof of current residence.
This fee will cover participation in the course and access to the course materials, including, course notes, slides, practical sessions, and solutions to exercises. Comprehensive course notes will be given to participants at the beginning of the course. Students on the course without access to Stata will be given a temporary Stata licence for the duration of the course.
By the end of this course, attendees will be able to critique and apply a range of appropriate design approaches and analytical methods for cluster randomised and stepped wedge trials.
The course will cover:
- Key concepts of cluster randomised trials, including measures of between-cluster variation and the rationale for cluster randomisation
- Design of cluster-randomised trials, including cluster selection and randomisation procedures
- Calculation of sample size
- Analysis of cluster randomised trials using both cluster-level summaries and individual-level data (random effects models and generalised estimating equations)
- Design and analysis of stepped wedge trials
- Ethical considerations, data monitoring and reporting of CRTs
The course will have a hybrid format and students can choose to attend in person in London or online. Teaching will take place through a blend of lectures and hands-on, live, practical sessions. There will be a strong emphasis on the practical exercises where participants will have hands-on experience using Stata to analyse illustrative datasets from a variety of trials.
Students attending in person who do not have their own laptop will be given access to one for the practical sessions. For those attending online, sessions will take place using Zoom and therefore participants will need to have a reliable internet service and a PC or laptop with microphone and speakers. Students on the course without access to Stata will be given a temporary Stata licence for the duration of the course.
The course will take place from approximately 9:30am to 5.00pm British Summer Time (BST).
"It felt like a package of "what you need to know in order to conduct and analyse a CRT"
"The professors were wonderfully kind and super helpful when questions were asked."
"The combination of theory and lab sessions was very helpful."
"The lectures where well prepared with many examples and the opportunity to practice what we learnt."
"All sessions were amazing, thank you very much for giving me the opportunity of attending the course and learning something from the experts!"
"Very knowledgeable teachers and student-centred approach."
"Good combination of theory and practice."
"The course was absolutely great. All teachers were amazing. One can feel that they are very experts and passionate on what they are doing."
The student is responsible for obtaining any visa or other permissions to attend the course, and is encouraged to start the application process as early as possible as obtaining a visa for the UK can sometimes take a long time. The Short Courses team can provide supporting documentation if requested.
A list of hotels located in the vicinity of LSHTM, along with further resources for short term accommodation, can be found on our accommodation pages.
- If you have been offered a place on the course you will not be able to register without bringing formal ID (Passport) and without having obtained the correct visa if required.
- It is essential that you read the current visa requirements for short course students.
- LSHTM may cancel courses two weeks before the first day of the course if numbers prove insufficient. In those circumstances, course fees will be refunded.
- LSHTM cannot accept responsibility for accommodation, travel and other losses incurred as a result of the course being cancelled.