Sentence examples for adjustment indicate from inspiring English sources

P-values<0.05 using Bonferroni Holm multiplicity adjustment indicate a potentiation effect of the combination and are denoted with arrows in Figure 1.

Analyses of associations between children's and teachers' perceptions of support and their reports of school adjustment indicated stronger within-rater associations than cross-rater associations.

The vast reduction of estimation errors, after applying the adjustment, indicates that the method is rather robust to violations of its underlying assumptions (the Gompertzian death rates and stable population age structure).

When effluent from UASB-treated piggery wastewater was used as influent on day 220, NH4 +-N/NO2 −-N ratio was maintained at ~1 without pH adjustment, indicating the stability and efficiency of the reactor.

Multiple active treatment comparisons with time adjustment indicated that within 2 months only AB injection showed an improvement of borderline significance (0.0056) in pain VAS, but PRP and AB injection showed a significant improvement in pain VAS when compared with steroid injections.

The necessity to make the adjustment indicates that the VTT inferred from SC data does not reveal the travellers' preferences, or that there are factors determining route choice other than those included in the model: travel distance, travel time and congestion charge.

However, this survival advantage was not maintained after adjustment, indicating presence of selection bias.

The substantial change in point estimates after multivariable adjustment indicates that further improved adjustment may explain our findings.

A greater attenuation in the association after adjustment indicates a greater contribution of that specific risk factor.

Age related analysis of dose adjustment indicated that a greater proportion of inappropriate dose adjustment in prescription entries was observed in the elderly (≥60 age group) (Fig.  3).

Multivariate adjustment indicated that having undetected diabetes was associated with being uninsured (odds ratio 1.7 [95% CI 1.0 2.9]) and with being uninsured >1 year (2.6 [1.4–5.0]).