Sentence examples for models with outcomes from inspiring English sources

The reliability and accuracy of predictions of the developed models were examined by using statistical and graphical methods as well as comparing the results of the models with outcomes of recently developed literature correlations.

There were four final models with outcomes of, respectively, borderline disease or worse; mild dyskaryosis or worse; moderate dyskaryosis or worse and severe dyskaryosis or worse.

To adjust for regression to the mean and allow effect estimates to be interpreted as outcome changes from baseline to follow-up, linear regression models with outcomes measured at follow-up were adjusted for the baseline value of the outcome.

Table 3 Variables in the final participation and performance models with outcome variables in italics Model Structure Variables Level   Participation Performance 1 Assessment Participation (0 or 1) Score 0 to 100%     Assessment condition Assessment     and timing timing 2 Students Course grade Assessment       condition     Gender   3 Sections Recommended practices (CBT only) Course type.

Bivariate and multivariate linear regression models with outcome of increased fibrosis score as a continuous variable were also examined.

We examined the association of fidelity to process and content of the CenteringPregnancy group prenatal care model with outcomes previously shown to be affected in a clinical trial: preterm birth, adequacy of prenatal care, and breast-feeding initiation.

To validate the model, one could compare the probability of developing cerebral palsy according to this model with outcomes in clinical studies of the subject.

All factors with a p value > 0.2 will be included in a multiple regression model with outcomes expressed as odds ratios with 95%% confidence intervals.

Squares, 1T2k60 model with outcome measure V T; triangles, 1T2k10 model with outcome measure K 1; circles, 2T4kVTnsfix model with outcome measure BPND; crosses, 2T4kVTnsfix model with outcome measure V T. This study evaluated test-retest variability of (R -[11C]verapamil data using seveR -[11C]verapamilc modata.

Statistical analysis was done using STATA12™.Independent variables identified as significant in a bivariate analysis were included as co-variates in a logistic regression model with outcome as the dependent variable.

This is a generalised linear model with outcome d ki with a Poisson error structure and a link function ln(μ ki −d ki *) with offset ln y ki ).