Sentence examples for multivariate model r from inspiring English sources

Δ4-androstenedione levels were positively and dehydroepiandrosterone sulfate was inversely associated with stroke severity (r = 0.142, P =.014 and r = −0.153, P =.008, respectively), and both parameters remained as significant determinants even after entering other confounders in the multivariate model (r = 0.118, P =.039 and r = −0.150, P =.011, respectively).

The explained variation in this multivariate model (r) was 0.39.

In a multivariate model (R = 0.34, P < 0.0001), dietary adherence (P = 0.004), pump use (P = 0.03), and caregiver education (P = 0.01) were associated with A1C.

In this study, each retinopathy and neuropathy independently and mildly correlated with DM duration in multivariate model (r = 0.33, p = 0.001 and r = 0.19, p = 0.02), but nephropathy was not (p = 0.35).

Multivariate model adjusted R = 0.24 Results from multiple regression model.

Multivariate model adjusted R = 0.05; BMI body mass index Further, the interaction between race and sex was explored in the analyses.

In the multivariate model (adjusted R = 0.31, P < 0.0001), average current A1C was 0.49% higher for each percent increase in pediatric pretransition A1C (β = 0.49, P < 0.0001).

In the multivariate model (adjusted R = 0.14, P = 0.0009), respondents who were mostly/completely prepared were significantly less likely to report a gap in care (OR 0.47 [95% CI 0.25 0.88]), as were those who had three or more pediatric diabetes visits in the year before transition (0.35 [0.35–0.35]).

In addition, we would like to point out that the 6-week pain intensity predictor alone had better ability to predict future pain score (R = 0.350 in the test set) compared to the full multivariate predictor model (R = 0.261 in the test set).

Post-implementation, however, the correlation of this multivariate model is negligible (r 2 ≈ 0.029) and none of the predictors achieve statistical significance.

The final multivariate model had an R of 0.88.