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DESCRIPTION:Course type: Short CourseDate: 29 June - 3 July 2026Location: F
 ace-to-Face/OnlineOverviewThis course will provide a clear understanding o
 f how to design and analyse cluster randomised trials and stepped wedge tr
 ials.&nbsp\;Cluster randomised trials and stepped wedge trials are the gol
 d standard method for evaluating health and social interventions at the co
 mmunity level. First developed in the 1990s\, they are being used more and
  more - with increasing impact on policy and people.To get the best out of
  cluster randomised and stepped wedge trials\, it&rsquo\;s crucial to have
  a firm grasp of key principles such as when to use these trials\, potenti
 al issues when designing them\, the statistical methods and skills needed 
 to analyse the data\, and how to interpret the findings. Combining high-qu
 ality lectures based on real-life research with practical computer session
 s\, this course will give you a strong foundation for effective design and
  analysis of these highly impactful trials.&nbsp\;Who is this course for?P
 eople working in clinical trials or interested in public health research a
 nd epidemiology\,&nbsp\;in particular community testing and impact\, will 
 gain key skills and knowledge for trial design and analysis on this course
 .You will need a working knowledge of standard statistical methods used in
  epidemiological analyses (eg linear\, Poisson and logistic regression) an
 d of clinical trials. The course is taught primarily in Stata\, but detail
 ed explanations of how to implement the methods will be provided in both S
 tata and R. Course participants should have either a basic knowledge of St
 ata or a solid knowledge of R.&nbsp\;Course ObjectivesBy the end of this c
 ourse\, attendees will be able to critique and apply a range of appropriat
 e design approaches and analytical methods for cluster randomised and step
 ped wedge trials.The course will cover:Key concepts of cluster randomised 
 trials\, including measures of between-cluster variation and the rationale
  for cluster randomisationDesign of cluster-randomised trials\, including 
 cluster selection and randomisation proceduresCalculation of sample sizeAn
 alysis of cluster randomised trials using both cluster-level summaries and
  individual-level data (random effects models and generalised estimating e
 quations)Design and analysis of stepped wedge trialsEthical considerations
 \, data monitoring and reporting of CRTsHow to ApplyFor more information a
 nd how to register\, please&nbsp\;click here!Application deadline: 29 May 
 2026
DTEND;VALUE=DATE:20260704
DTSTAMP:20260430T104042Z
DTSTART;VALUE=DATE:20260629
LOCATION:
SEQUENCE:0
SUMMARY:Design & Analysis of Cluster Randomised and Stepped Wedge Trials
UID:RFCALITEM639131424428670858
X-ALT-DESC;FMTTYPE=text/html:<img src="https://psiweb.org/images/default-so
 urce/default-album/lshtm.png?sfvrsn=84f2a9db_1&amp\;sf_site_temp=true&amp\
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 ht:auto\;" width="432" height="218" sf-image-responsive="true" sf-size="43
 370" alt="" title="LSHTM" /><p><strong>Course type: </strong>Short Course<
 br /><strong>Date</strong>: 29 June - 3 July 2026<br /><strong>Location: <
 /strong>Face-to-Face/Online</p><h2>Overview</h2><p>This course will provid
 e a clear understanding of how to design and analyse cluster randomised tr
 ials and stepped wedge trials.&nbsp\;Cluster randomised trials and stepped
  wedge trials are the gold standard method for evaluating health and socia
 l interventions at the community level. First developed in the 1990s\, the
 y are being used more and more - with increasing impact on policy and peop
 le.</p><p>To get the best out of cluster randomised and stepped wedge tria
 ls\, it&rsquo\;s crucial to have a firm grasp of key principles such as wh
 en to use these trials\, potential issues when designing them\, the statis
 tical methods and skills needed to analyse the data\, and how to interpret
  the findings. Combining high-quality lectures based on real-life research
  with practical computer sessions\, this course will give you a strong fou
 ndation for effective design and analysis of these highly impactful trials
 .</p><p>&nbsp\;</p><h2>Who is this course for?</h2><p>People working in cl
 inical trials or interested in public health research and epidemiology\,&n
 bsp\;in particular community testing and impact\, will gain key skills and
  knowledge for trial design and analysis on this course.</p><p>You will ne
 ed a working knowledge of standard statistical methods used in epidemiolog
 ical analyses (eg linear\, Poisson and logistic regression) and of clinica
 l trials. The course is taught primarily in Stata\, but detailed explanati
 ons of how to implement the methods will be provided in both Stata and R. 
 Course participants should have either a basic knowledge of Stata or a sol
 id knowledge of R.</p><p>&nbsp\;</p><h2>Course Objectives</h2><p>By the en
 d of this course\, attendees will be able to critique and apply a range of
  appropriate design approaches and analytical methods for cluster randomis
 ed and stepped wedge trials.</p><p>The course will cover:</p><ul><li>Key c
 oncepts of cluster randomised trials\, including measures of between-clust
 er variation and the rationale for cluster randomisation</li><li>Design of
  cluster-randomised trials\, including cluster selection and randomisation
  procedures</li><li>Calculation of sample size</li><li>Analysis of cluster
  randomised trials using both cluster-level summaries and individual-level
  data (random effects models and generalised estimating equations)</li><li
 >Design and analysis of stepped wedge trials</li><li>Ethical consideration
 s\, data monitoring and reporting of CRTs</li></ul><ul></ul><h2>How to App
 ly</h2><p>For more information and how to register\, please&nbsp\;<strong>
 <a href="https://www.lshtm.ac.uk/study/courses/short-courses/cluster-rando
 mised-trials?utm_source=psi&amp\;utm_medium=course_listing&amp\;utm_campai
 gn=short-course">click here</a>!</strong></p><p><strong>Application deadli
 ne: 29 May 2026</strong></p>
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