Design and analysis of cluster randomized trials

  • How do you analyze cluster randomized trials?

    The traditional approach to the analysis of cluster randomized trials has been to calculate a summary measure for each cluster, such as a cluster mean or proportion.
    Because each cluster then provides only one data point, the data can be considered to be independent, allowing standard statistical tests to be used..

  • How do you analyze data from a cluster randomized trial?

    The traditional approach to the analysis of cluster randomized trials has been to calculate a summary measure for each cluster, such as a cluster mean or proportion.
    Because each cluster then provides only one data point, the data can be considered to be independent, allowing standard statistical tests to be used..

  • What is a cluster RCT design?

    A cluster randomised trial (CRT) is a randomised controlled trial in which pre-existing groups, called clusters, of individuals are randomly allocated to treatment arms.
    For example, clusters may be clinical practices or schools where the individuals are patients and school children, respectively..

  • What is cluster randomized trial design?

    A cluster randomized trial (CRT) is a trial in which individuals are randomized in groups—the group as a whole is randomized and not the individual.
    From: Practical Management of Pain (Fifth Edition), 2014..

  • What is the design effect of a cluster randomized trial?

    More generally, the design effect represents the amount by which the sample size required for an individually randomized trial needs to be multiplied to obtain the sample size required for a trial with a more complex design such as a cluster randomized trial and depends on design and analysis..

  • A cluster randomised trial (CRT) is a randomised controlled trial in which pre-existing groups, called clusters, of individuals are randomly allocated to treatment arms.
    For example, clusters may be clinical practices or schools where the individuals are patients and school children, respectively.
A cluster randomization trial is one in which intact social units, or clusters of individuals, are randomized to different intervention groups. Google BooksOriginally published: October 10, 2000Authors: Neil Klar and Allan Donner
The design of cluster randomized trials is more complicated than that of simple randomized trials, since it does not only involve the calculation of the required number of persons, but also the calculation of the optimal allocation of units, that is, the optimal sample sizes at the cluster level and the person level.
The design of cluster randomized trials is more complicated than that of simple randomized trials, since it does not only involve the calculation of the required number of persons, but also the calculation of the optimal allocation of units, that is, the optimal sample sizes at the cluster level and the person level.

Can a multisite study replace a cluster randomized trial?

When patients are randomly assigned to treatment conditions and neither the patient nor the researchers know who belongs to which treatment, a multisite study may be an alternative to a cluster randomized trial

Blinding is of course no option when the intervention consists of interpersonal relationships, such as in peer-pressure groups

How can a cluster randomized trial achieve a correlation r ZX 2?

When the cluster randomized trial only has a small number of clusters, a correlation r zx 2 equal to zero may be achieved by pre-stratification on the covariate, which means that for each value of half of the clusters are randomized to the control condition while the others are randomized to the intervention condition

What is the design effect of a cluster randomized trial?

This factor is called the design effect, and it increases with the cluster size n 1 and the intra-class correlation coefficient ρ

Since it is always larger than 1, a cluster randomized trial is less efficient than a trial that randomizes persons to treatment conditions

There are two main approaches to the analysis of cluster randomized trials: analysis at the cluster level or analysis at the patient level. Traditionally, analysis has been focused at the cluster level; however, recent advances in statistics have led to the development of techniques which can incorporate the patient level data.

This review aimed to investigate the statistical methods used in practice for analysing the primary outcomes in publicly funded cluster randomised controlled trials, adherence to the CONSORT (Consolidated Standards of Reporting Trials) reporting guidelines for cRCTs and the recruitment abilities of the cluster trials design.

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