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Selection bias in cluster randomised controlled trials

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Manage episode 224640351 series 170745
Content provided by Oxford University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Oxford University or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Professor David Torgerson, Director of the York Trials Unit, gives a talk for the Evidence Based Healthcare podcast series. He has published widely with over 250 peer reviewed papers many of them on the design of randomised trials including a student text book 'Designing Randomised Trials in Health Education and the Social Sciences' (2008, Palgrave MacMillan). He has a particular interest in the design and conduct of cluster randomised trials. Randomisation, if conducted properly, will abolish selection bias. Poor randomisation practice for individually randomised trials allows the allocation schedule to be predicted and can lead to subversion of the randomisation, which introduces selection bias. In cluster randomised controlled trials there is a particular problem with some trials in that cluster randomisation occurs before individual recruitment. When this occurs the allocation can become known to the potential participant and the recruiting clinician and research. This, then, allows selective recruitment to occur which means that selection bias is introduced at the level of the individual participant. In this talk the problem is illustrated in case studies and I discuss approaches to dealing with this potential source of selection bias.
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85 episodes

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Archived series ("Inactive feed" status)

When? This feed was archived on July 25, 2020 03:09 (4y ago). Last successful fetch was on March 11, 2020 12:18 (4y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 224640351 series 170745
Content provided by Oxford University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Oxford University or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Professor David Torgerson, Director of the York Trials Unit, gives a talk for the Evidence Based Healthcare podcast series. He has published widely with over 250 peer reviewed papers many of them on the design of randomised trials including a student text book 'Designing Randomised Trials in Health Education and the Social Sciences' (2008, Palgrave MacMillan). He has a particular interest in the design and conduct of cluster randomised trials. Randomisation, if conducted properly, will abolish selection bias. Poor randomisation practice for individually randomised trials allows the allocation schedule to be predicted and can lead to subversion of the randomisation, which introduces selection bias. In cluster randomised controlled trials there is a particular problem with some trials in that cluster randomisation occurs before individual recruitment. When this occurs the allocation can become known to the potential participant and the recruiting clinician and research. This, then, allows selective recruitment to occur which means that selection bias is introduced at the level of the individual participant. In this talk the problem is illustrated in case studies and I discuss approaches to dealing with this potential source of selection bias.
  continue reading

85 episodes

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