… The resulting logistic regression model’s overall fit to the sample … model‐predicted values.
Use of diagnostic statistics is also recommended to further assess the adequacy of the model. …

… From pure noise, we have found independent predictors with … as independent predictors,
three having P values <0.05. … of stepwise logistic regression chosen independent predictors of …

… The sample size of the present study was not large, and further investigation is required
to assess not only the independent predictors revealed in this study, but also those reported …

… used to determine the independent predictors of an outcome. The objective of this study
was to determine the reproducibility of logistic regression models developed using automated …

… of the logistic regression model with eight predictors in … , the model performance in independent
data (‘test’) was on average worse than the performance in the sample where the model …

… the use of continuous or categorical predictors and provides the ability to adjust for multiple
… logistic regressions predicting angina, the model containing only cholesterol as a predictor …

… Among variables tested using multivariate logistic regression analysis in this study, only the
rate of clearance of subarachnoid blood by surgery, duration of external CSF drainage and …

… further examples of risk prediction models that will be … prediction model development using
logistic regression, including identifying and selecting classifying variables, assessing model …

… Extending the logic of the simple logistic regression to multiple predictors, one may … which
logistic regression analysis is suitable to predict dichotomous outcomes. Six logistic regression …

… Suppose we have a binary response variable Y and a binary predictor variable X, and in
addition we have other predictor variables Z1, ..., Zk that may or may not be binary. If we use …