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We used three performance indices (normalized root mean squared error, cluster pair proportions and biomarker list concordance index) to assess the performance of imputation algorithms.
The cluster-level threshold was then computed in such a way as to ensure that the final expected number of type I error cluster was less than one per whole brain.
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The proposed Clustered-HMLP network architecture is trained using modified training algorithm called Clustered-Modified Recursive Prediction Error (Clustered-MRPE).
Robust standard error clustered at municipality level in parentheses.
(Error bars represent robust standard errors clustered on session).
(Upper and lower bounds are +/− robust standard errors clustered on double-pairs; see SI Section 2 for statistical details).
Standard errors clustered at the bank level.
Standard errors clustered for LLM in parentheses.
Robust standard errors, clustered on MSA, are shown in parentheses.
Standard errors clustered at the province-sector level in brackets.
Reported t-stats constructed from standard errors clustered by region.
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