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Virtual donor searches for 1492 high-resolution typed Finnish patients in the Finnish, Swedish and German registries were then performed, using individual match predictions for each registry.
Follow-up methods, years of diagnosis, and follow-up for each registry are shown in Table S2.
For each registry, we extracted person-years and counts of incident cases stratified by sex and age.
The proposed completeness index is the ratio of the observed number to the adjusted prediction for each registry.
Quartiles for GINI index and GDP for each registry are shown in Table 2. Analyses were performed using negative-binomial models because of a non-zero dispersion parameter.
We performed these calculations for each registry for each of the three age strata (0 4 years, 5 9 years, and 10 14 years).
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For this study, each registry and data source holder obtained ethics or Institutional Review Board IRBB) approval in accordance with local requirements.
Thus, for each socioeconomic variable, each registry had three age-specific quartile rankings (0 4 years, 5 9 years, and 10 14 years).
One possible explanation for the difference in estimates is that we used a formal statistical model for the variation between cancer registries using random effects, while Ren and colleagues used arbitrary weights for each cancer registry.
We plotted the incompleteness measure for each cancer registry for each year.
Date of last follow-up was different for each cancer registry; the earliest was March 2004 and the latest was January 2005.
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