Suggestions(3)
Exact(21)
Few studies examine within centre practice variations.
Patients are clustered within centre, and are stratified by the type of surgical procedure they receive.
Regardless of whether the method of randomisation is by envelope or telephone there will be balance within centre.
GEE employs quasi-likelihood to estimate regression coefficients iteratively, and a working correlation needs to be supplied to approximate the within centre correlation.
Throughout the work, we quantified correlation among subjects within centre using ICC, the most commonly used concept to assess clustering in biomedical literature.
Randomisation with equal probability of assignment to each treatment (no-lymphadenectomy vs systematic lymphadenectomy) was carried out by a block arrangement balancing the treatment assignment within centre.
Similar(39)
Between-centre variability compared well with within-centre variability for total area, bone mineral content and bone mineral density, but was significantly higher for fat (p < 0.001), lean (p < 0.005) and total mass (p < 0.001).
The mean between-centre coefficient of variation (CV) ranged from 2.0 (lean mass) to 5.6% (fat mass) while the mean within-centre CV ranged from 0.3 (total mass) to 4.7% (total area).
The overall effect is obtained as the average within-centre effect differences over centre, using inverse-variance weighting.
Ignoring stratification by centre or within-centre correlation did not bias the estimated treatment effects even when ICC was large.
Maps of within-centre variance were generated for each centre, for each MRI acquisition and for each method of registration to standard MNI space (Fig. 1).
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