Sentence examples for building a logistic regression from inspiring English sources
The third step was building a logistic regression model including the variables identified in the bivariate analyses.
PSM involved three steps towards building a logistic regression model to derive predictors of quitting.
We also considered building a logistic regression model using information on both baseline concentration and relative changes after each chemotherapy cycle.
Due to its efficiency in handling convex functions, (i.e., usually only a few iterations (five or six) are needed to reach a very high precision [ 24]), the Newton method is a popular numerical approach for building a logistic regression model [ 25].
When a NEMO score ≥6, a GC score ≥3 and a Cs score ≤6 were analysed all together as predictors of an active phase of disease (ESSG score ≥3.0), by building a logistic regression model, only NEMO and GC variables gave a significant contribution to the model, although the odds ratio of NEMO score was much higher with respect to that of GC score (Table 4).> -wrap-foot> *95% confidence interval.
Variables with a univariate association with SSSTI with a p-value ≤ 0.25 and variables identified a priori as clinically and epidemiologically important independent covariates were considered for building a conditional logistic regression multivariate model [ 25].
We additionally subjected predictor variables to factor analysis (principal components) to explore between-variable colinearity prior to building a multiple logistic regression model as described by Hosmer and Lemeshow.
The predictive factors with an OR where the confidence interval did not include 1 in the bivariate analysis were taken into account and entered into an analysis for the purpose of building a multivariate logistic regression model in order to calculate the OR adjusted to the predictive factors of the cohort.
Since nutritional status is an important determinant of WHO stage, only weight-for-height z-score and regimen were included in building an adjusted logistic regression model for the relationship between adherence and viral suppression.
A logistic regression is performed to estimate the probability of demolition pdem for building typologies.
