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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:20260507T120943Z
DTSTART;VALUE=DATE:20260629
LOCATION:
SEQUENCE:0
SUMMARY:Design & Analysis of Cluster Randomised and Stepped Wedge Trials
UID:RFCALITEM639137525833277671
X-ALT-DESC;FMTTYPE=text/html:<img src="https://uat.psiweb.org/images/defaul
 t-source/default-album/lshtm.png?sfvrsn=84f2a9db_1&amp\;sf_site_temp=true&
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 ="43370" alt="" title="LSHTM" /><p><strong>Course type: </strong>Short Cou
 rse<br /><strong>Date</strong>: 29 June - 3 July 2026<br /><strong>Locatio
 n: </strong>Face-to-Face/Online</p><h2>Overview</h2><p>This course will pr
 ovide a clear understanding of how to design and analyse cluster randomise
 d trials and stepped wedge trials.&nbsp\;Cluster randomised trials and ste
 pped wedge trials are the gold standard method for evaluating health and s
 ocial interventions at the community level. First developed in the 1990s\,
  they are being used more and more - with increasing impact on policy and 
 people.</p><p>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 a
 s when to use these trials\, potential issues when designing them\, the st
 atistical methods and skills needed to analyse the data\, and how to inter
 pret the findings. Combining high-quality lectures based on real-life rese
 arch with practical computer sessions\, this course will give you a strong
  foundation for effective design and analysis of these highly impactful tr
 ials.</p><p>&nbsp\;</p><h2>Who is this course for?</h2><p>People working i
 n clinical trials or interested in public health research and epidemiology
 \,&nbsp\;in particular community testing and impact\, will gain key skills
  and knowledge for trial design and analysis on this course.</p><p>You wil
 l need a working knowledge of standard statistical methods used in epidemi
 ological analyses (eg linear\, Poisson and logistic regression) and of cli
 nical trials. The course is taught primarily in Stata\, but detailed expla
 nations 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
  solid knowledge of R.</p><p>&nbsp\;</p><h2>Course Objectives</h2><p>By th
 e end of this course\, attendees will be able to critique and apply a rang
 e of appropriate design approaches and analytical methods for cluster rand
 omised and stepped wedge trials.</p><p>The course will cover:</p><ul><li>K
 ey concepts of cluster randomised trials\, including measures of between-c
 luster variation and the rationale for cluster randomisation</li><li>Desig
 n of cluster-randomised trials\, including cluster selection and randomisa
 tion procedures</li><li>Calculation of sample size</li><li>Analysis of clu
 ster randomised trials using both cluster-level summaries and individual-l
 evel data (random effects models and generalised estimating equations)</li
 ><li>Design and analysis of stepped wedge trials</li><li>Ethical considera
 tions\, data monitoring and reporting of CRTs</li></ul><ul></ul><h2>How to
  Apply</h2><p>For more information and how to register\, please&nbsp\;<str
 ong><a href="https://www.lshtm.ac.uk/study/courses/short-courses/cluster-r
 andomised-trials?utm_source=psi&amp\;utm_medium=course_listing&amp\;utm_ca
 mpaign=short-course">click here</a>!</strong></p><p><strong>Application de
 adline: 29 May 2026</strong></p>
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