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The four components were assessed for the likelihood of an association with the residentsʼ perception of their confidence for teaching skills using a univariate logistic regression analysis.
The crude association between demographic, socioeconomic, geographic, and other factors potentially associated with physician agreement was tested using a univariate logistic regression model.
Differences in proportion G. duodenalis positive between groups were assessed using a univariate logistic regression.
Differences in risk factors (previous diagnoses, clinical characteristics and family characteristics) were analyzed using a univariate logistic regression.
** OR and their 95% CI were derived using a univariate logistic model with CAM use as the dependent variable.
Using a univariate logistic regression model, the effect of the different genotypes of the α2B-AR insertion/deletion variation on the odds for hypertension was explored.
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We used a univariate logistic regression model (also exact) to identify parameters that were associated with a prolonged ICU treatment (response: < 48 hours versus ≥ 48 hours).
Using a univariate binary logistic regression model, NT-proBNP levels of the 4th quartile were associated with increased odds of death within 28 days post ICU admission (OR 3.6, 95% CI = 1.7 – 7.5) (Table 3, Figure 2A).
The probability of a pCR was estimated using (1) a univariate logistic regression model for the following clinical factors recorded at randomisation: menopausal status, tumour size, nodal status, grade, and clinical response after two cycles of ddAT; and (2) by immunohistochemistry findings: oestrogen and progesterone hormone receptor status, Ki-67, HER2, p53, and bcl-2.
Baseline characteristics were tested as predictive factors of serological failure using a univariate and multivariate logistic regression model, respectively.
Categorical variables were assessed by a chi-square or Fisher's exact test when the expected value of a cell was less than 5. Odds ratios with 95% confidence intervals were computed using a univariate and multivariate stepwise logistic regression model with hospital LOS as the response variable.
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