Comparison of methods for analysing cluster randomized trials: an example involving a factorial design.

@article{Peters2003ComparisonOM,
  title={Comparison of methods for analysing cluster randomized trials: an example involving a factorial design.},
  author={Tim J. Peters and Suzanne Richards and Clare Bankhead and Anthony E. Ades and Jonathan Sterne},
  journal={International journal of epidemiology},
  year={2003},
  volume={32 5},
  pages={840-6}
}
BACKGROUND Studies involving clustering effects are common, but there is little consistency in their analysis. Various analytical methods were compared for a factorial cluster randomized trial (CRT) of two primary care-based interventions designed to increase breast screening attendance. METHODS Three cluster-level and five individual-level options were compared in respect of log odds ratios of attendance and their standard errors (SE), for the two intervention effects and their interaction… CONTINUE READING

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