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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.
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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 ).
This is an ordinary logistic regression model with outcome disease present (y/n) and one covariable (index test result, positive or negative), with weights for cases and controls.
Variables defined by discriminant analysis were entered as predictors in a multiple logistic regression model with outcome as the dependent variable (Table 3).
A multivariable random effects logistic regression model with outcome survival yes/no was constructed by manual forward selection by offering variables selected from the univariable analyses one-at-a-time to the model by ascending univariable P-value.
Table 2 shows the results from each individual biomarker incorporated into a linear regression model (one marker per model) with outcome SOFA, adjusted for age (years), gender, and co-morbid burden (charlson index).
A structural equation model with outcome, interpersonal, clinical, and educational expectations as latent exogenous variables and changes in serenity, negative and positive affect, and pain as endogenous variables was tested using Mplus.
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