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Thinking about these "users" — it seems obvious that their real primary values will be different from the typical blockchain "ideals" like consensus, transparency and so forth.
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Our primary method for dealing with missing predictor values will be multiple imputation using a regression modeling approach [ 60].
Where missing data are unobtainable, imputation of individual values will be undertaken for the primary outcomes only.
Which values will be rewarded and reinforced?
This values will be presented.
The primary outcome measure is the diagnostic test accuracy of the dental care professionals and sensitivity, specificity, positive predictive value and negative predictive values will be reported.
ICC values will be reported.
Missing values will be imputed.
If the p-value for the interaction test is <0.05, the treatment effects and 95% confidence intervals will be estimated within subgroups defined by levels above and below the median value of either HbA1c or vitamin D. For the primary efficacy endpoint, two p-values will be calculated, one for the comparison of vitamin D2 vs placebo and one for the comparison of vitamin D3 vs placebo.
Only reports from nodes that have consistent high trust value will be used in primary user detection.
The entertainment value will be higher".
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