Managing clustering effects and learning effects in the design and analysis of randomised surgical trials: a review of existing guidance
<p><strong>Background:</strong> The complexities associated with delivering randomised surgical trials, such as clustering effects, by centre or surgeon, and surgical learning, are well known. Despite this, approaches used to manage these complexities, and opinions on these, vary....
Main Authors: | Conroy, EJ, Blazeby, JM, Burnside, G, Cook, JA, Gamble, C |
---|---|
Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2022
|
Similar Items
-
Managing clustering effects and learning effects in the design and analysis of randomised surgical trials: a review of existing guidance
by: Elizabeth J. Conroy, et al.
Published: (2022-10-01) -
Allowance for learning and clustering effects in the design and analysis of multicentre randomised trials: current practice and experiences
by: Conroy, EJ, et al.
Published: (2019) -
Managing clustering effects and learning effects in the design and analysis of multicentre randomised trials: a survey to establish current practice
by: Conroy, EJ, et al.
Published: (2020) -
Managing learning and clustering effects at the design stage in randomised surgical trials: a retrospective cohort of trial funding applications
by: Conroy, E, et al.
Published: (2019) -
Investigating the presence of surgical learning in a randomised trial: the Timing of Primary Surgery for cleft palate (TOPS) trial
by: Conroy, EJ, et al.
Published: (2022)