How to assess intra- and inter-observer agreement with quantitative PET using variance component analysis: a proposal for standardisation.
Oke GerkeMie Holm VilstrupEivind Antonsen SegtnanUlrich HalekohPoul Flemming Høilund-CarlsenPublished in: BMC medical imaging (2016)
VCA is an appealing approach for weighing different sources of variation against each other, summarised as RCs. The involved linear mixed effects models require carefully considered sample sizes to account for the challenge of sufficiently accurately estimating variance components.
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