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. ...
regressionanalysis was chosen for its ability to use multiple categorical variables or covariates (process factors) to predict a dichotomous or binary outcome (diagnosis in ED [0] vs missed diagnosis in ED [1]) OR (delay in recognition [1] or no delay in recognition [0]) (Alex 2007, ...
322 children under the age of five was included. Given the impact of other predictors such as maternal, child, and socioeconomic variables, a multilevel multivariate binary logistic regression model
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...
Toillustratethisunderlyingvariablespecification,firstconsidertheunivariatelogistic regressionmodel: logitPr(y i =1|x i ,β)=x i β,(1) wherey i isa0/1binaryoutcome,x i isaq×1vectorofpredictors,andβisavector ofunknownregressioncoefficients.Thismodelisequivalenttolettingy i =1(z i >0)...
Binary logistic regression is used when the dependent variable has two categories, such as agree/disagree, present/absent, or high/low; multinomial logistic regression is used when the dependent variable has more than two categories; and ordinal logistic regression is used when the dependent variable...
Confusion matrix showing the four outcomes of a binary classification process. ROC graphs are commonly used to assess the performance of a classifier. Sensitivity is plotted on the y-axis and 1-specificity on the x-axis. Classifiers producing results on the diagonal, dashed line in Figure 9.34 ...
Most previous MetS GWAS have focused on a binary definition of MetS. Kraja et al.9expanded on this by conducting a GWAS for MetS and pairwise combinations of its components and identified 29 common variant associations; however, these studies lacked robust evidence for a consistent association ac...
Child malnutrition is a huge health problem having multifaceted consequences for child survival and long-term well-being. Although, several studies investigated stunting, underweight, and wasting in low- and middle-income countries, in Nigeria, the link
type of birth and parity across the surveys. In the mixed-effect binary logistic regression analysis; preceding interval < 24 months (AOR = 1.79, 95% CI; 1.46, 2.19), small size at birth (AOR = 1.55, 95% CI; 1.25, 1.92), large size at birth (AOR = 1.26, 95...