Exact(8)
Akaike's Information Criteria corrected for a small sample size (AICc) [12], [13] was used to determine which of the two ANCOVA models (A or B) best described the relationship between E (Emet and Emech, CM) and Mb.
In order to ensure that glomeruli were accurately identified, we used the occurrence of double labeling with NCAM and VGlut2 in serial sections through the human OBs as a rigorous and unbiased criteria, corrected with Abercrombie's to further ensure that glomeruli were counted only once.
Significance criteria (corrected t values tcorr) were determined on the basis of permutation tests (Blair and Karniski 1993).
We used jModeltest [ 95] using the Akaike information criteria corrected for small sample sizes (AICc, [ 96]) to determine the best fitting substitution models (GTR + G).
We varied the generation at which the breakpoint occurs between G2 and G7 and used the AICc (Akaike's Information Criteria corrected for small sample sizes [ 46]) to compare the models.
With the same covariates (age, sex, years of education, mcBBR, and rmsFD) and the same statistical criteria (corrected, Z = 2.3, P < 0.05), we found no significant clusters between MDD and healthy controls with volume-based ReHo approach.
Similar(52)
All these algorithms suggest that many features of models already in the PDB are likely wrong, but no automated mechanism currently exists to decide if a better modeling of specific areas would be better consistent with the validation criteria, correct these errors where applicable and make the new, corrected models available to the user community.
All autologistic models obtained lower Akaike's information criterion corrected for small sample size (AICc) values than the best ordinary logistic models.
We used ordinary-least-squares multiple regression (OLS) and the Akaike's information criterion (corrected for spatial autocorrelation) and derived indices to generate parsimonious models including multiple predictors.
Akaike information criterion (corrected for small sample size).
Akaike's information criterion corrected for small sample size.
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