Table 3.
Pairwise MFI correlations of 9,918 replicate tests among 7 centers testing Lot 1
| Center | MFI (mean±SD)1 | Pearson correlation coefficient [95% CI2] | |||||||
|---|---|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | |||
| A | 2997±5117 P = 0.33 vs. F |
1 | 0.963 [.961,.965] | 0.986 [.985,.987] | 0.979 [.977,.980] | 0.975 [.974,.977] | 0.986 [.986,.987] | 0.968 [.966,.970] | |
| B | 3139±5429 P = 0.001 vs. F |
1 | 0.972 [.971,.974] | 0.953 [.950,.956] | 0.980 [.979,.981] | 0.981 [.980,.982] | 0.966 [.964,.968] | ||
| C | 2826±5022 P =0.08 vs. F |
1 | 0.989 [.989,.990] | 0.989 [.988,.989] | 0.992 [.992,.993] | 0.978 [.977,.979] | |||
| D | 2436±4438 P < 0.001 vs. F |
1 | 0.972 [.970,.974] | 0.982 [.981,.983] | 0.971 [.969,.973] | ||||
| E | 3007±5354 P = 0.26 vs. F |
1 | 0.988 [.987,.989] | 0.975 [.973,.976] | |||||
| F | 2936±5188 baseline |
1 | 0.981 [.980,.983] | ||||||
| G | 2569±4686 P < 0.001 vs. F |
1 | |||||||
1
For testing average center differences, Center F was set as baseline based on multi-dimensional scaling analysis (See Figure 2). P-values for center differences were calculated using a random effects regression model, which included 6 dichotomous variables (one for each remaining center A–E and G) and a random component representing replicates of kits and beads.
2
Overall 95% confidence intervals for correlations calculated using Fisher’s z transform and a Bonferroni-adjustment for 21 comparisons.