Results for strength correlated with clinical outcome scores (Constant-Murley, DASH, and [D]SST) indicating moderately strong relationships and a moderate predictive value of the outcome scores.
The CIpercentt change had a moderate predictive accuracy of AKI recovery with an area under the ROC curve of 0.739(P = 0.012).
In German-speaking countries, there have been few studies examining the validity of the PCL-R and the PCL SV in predicting re-offending and they confirm, at the least, a moderate predictive validity of the instrument [ 11- 13].
Using the 15 fitted metabolites, the OPLS models on samples taken immediately postoperation indicated moderate predictive capacity of the fitted metabolites for clinical outcome.
The moderate predictive value of the UKPDS equation in the EPIC-Norfolk cohort can perhaps be attributed in part to the sizeable proportion of individuals aged >65 years (25%) in this cohort.
Thirdly, we used conserved co-expression, i.e. orthologs of co-expressed genes in one species are also co-expressed in a related species, to increase the moderate predictive power of gene co-expression towards functional association [ 19].
Recently, first evidence for the moderate predictive ability of a single positive IGRA result, or correspondingly, a documented IGRA conversion after recent extensive exposure to smear-positive TB regarding the progression to active TB was made available [ 37- 41].
In our current study, a rich data set was available with haematological toxicity data, which might explain the moderate predictive performance of the PK/PD relationship using (assumed) nadir counts.
This may be because there were only six different values of predictive probability estimated from the summary score model and a large deviation occurred in the patients with moderate predictive probability of NODAT ∼0.2 when comparing the observed and expected counts.
Interestingly, it has been recently reported in the context of cell line sensitivity prediction [87] that higher performance was obtained by combining moderate predictive models, instead of the most predictive models of each class.
