Multivariate binary logistic regression models and their according area under the ROC curve (AUC) for prediction of clinicopathological bladder cancer features.Sabina SevcencoAndrea HaitelLothar PonholdMartin SusaniHarun FajkovicShahrokh F. ...
Multivariate binary logistic regression analysis was performed to determine independent predictors, and then an SUVmax-based prediction model was established. The areas under the receiver operating characteristic (ROC) curve (AUC) were used to assess the diagnostic value for CSPCa. Decision curve ...
A multivariate binary logistic regression model was developed to predict the odds of developing a PE during hospitalization. The model was developed using a... SR Black,JT Howard,PC Chin,... - 《Journal of Orthopaedic Trauma》 被引量: 1发表: 2015年 Assessing the Sympathetic Response of Medica...
In the previous chapter , we examined how to analyze data in a binary logistic regression model that included a dependent variable with two categories. This allowed us to overcome problems associated with using Ordinary Least Squares Regression in cases where the variable that is being explained is...
In Rosner (1984), a polychotomous logistic regression model was presented to control for the effect of both cluster and individual-specific covariates while accounting for the correlation among units within a cluster. This model reduces to a beta-binomial model in the absence of covariates, and ...
Application of multivariate logistic regression model to assess factors of importance influencing prevalence of abortion and stillbirth in Nigerian goat br... The aim of the study was to investigate the application of binary logistic regression to assess the potential factors associated with the prevalenc...
We can extend the binary logistic regression model to multinomial logistic regression model, in which the response variable has more than two levels. For example, in the study of obesity for adults, we can divide the BMI value into four different levels (underweight, normal, overweight and ...
A Class of Logistic Regression Models for Multivariate Binary Time Series A logistic model for multivariate binary time series is proposed. First, we establish the equivalence between a log-linear model for the marginal distribut... KY Liang,S Zeger - 《Jasa Journal of the American Statistical ...
weproposeanewtypeofmultivariatelogisticdistributionthatcanbeusedtoconstructa likelihoodformultivariatelogisticregressionanalysisofbinaryandcategoricaldata.The modelforindividualoutcomeshasamarginallogisticstructure,simplifyinginterpretation. WefollowaBayesianapproachtoestimationandinference,developinganefficientdata augmentationalgor...
Logistic regression model Logistic regression is a statistical model used to estimate the effect of factors when we have categorical response. In this study, letY1i,Y2i, andY3iare binary response of stunting, underweight and wasting of theithunder-five children, respectively. For binary responseYji...