Sentence examples for regression post from inspiring English sources

Strong effects of spectral randomization returned, however, when an earplug was reintroduced (significant difference in % correct between 0 and 15 dB randomization conditions; p < 0.001; mixed-effects logistic regression, post hoc test; Figures 1C and 1D).

In the presence of an earplug, these animals performed progressively less well as the amount of spectral uncertainty was increased (significant difference in % correct between 0 and 15 dB randomization conditions; p < 0.001; mixed-effects logistic regression, post hoc test; Figures 1C and S1E).

Using linear regression, post-LVEF was regressed on initial LVEF and compared in patients with and without specific risk factors for AC-CMP.

The potential importance of CCR2-expressing cells in radiation therapy is also observed in the Lewis Lung Carcinoma (LLC) tumor model, where LLC tumors grown in CCR2−/− hosts showed significant regression post-IR compared to LLC grown in WT mice (Fig. 2b, CCR2−/− IR 228 ± 166 vs. WT IR 1300 ± 199, day 24, P < 0.01: Student's t-test).

30 Our study, using a less specific but well validated technique of LGE, found similar results post-SAVR but evidence of regression post-TAVI.

Specific evaluation of those complete responders demonstrated three common features: good baseline performance status, lung only metastases, and some degree of spontaneous tumour regression post-nephrectomy.

Using the generalized estimating equations (GEE) method of regression (post-hoc), there was a significant improvement in the total FACT-G scores in the fluoxetine group compared with placebo.

Baseline characteristics of 8,871 adult patients with schizophrenia were included in a logistic regression post-hoc analysis comparing patients who attempted and/or committed suicide during the study with those who did not.

Significant interactions between baseline UPI levels and sample membership were explored by generating within-group odds ratios and IRRs of the regression post-release UPI onto pre-release UPI.

A suggestion from previous work was to fit regression models post hoc to specifically evaluate the null hypothesis of no interaction for MDR or MDR-PDT models.

Where the dose effect was significant in linear regression models, post hoc pairwise comparisons were used to examine threshold effects (that is, whether specific increments contributed to QT prolongation).