logistic regression with L2 regularization (LR), nearest neighbors (NN), and support vector machines with RBF kernel (SVM), all using bag of words as features. We also
Various socio-demographic variables are measured through the use of logistic regression analysis for determining lottery adoption among all the counties in Tennessee.Results.The results of the logistic regression model suggest that the most significant variables contributing to the adoption of the state ...
Finally, we used results of the explorative analysis to perform multinomial logistic regression models to examine the relationship between patient clusters and potential predictors and to understand the effect of each predictor on the likelihood of being in the different patient satisfaction clusters. ...
We illustrate the method's usefulness with examples from artificial and real-world data sets and an empirical analysis of running times. Results from a controlled experiment with 122 participants suggest that the method's explanations improved the participants' understanding of the model. 展开 ...
Logistic regression was used when the DV was cannabis or other illicit drug use. Linear regression was used for all other models in the mediation analyses. As punishment insensitivity and reward sensitivity were considered conceptually distinct and were not highly correlated (Table 2), they were ...
Finally, we used results of the explorative analysis to perform multinomial logistic regression models to examine the relationship between patient clusters and potential predictors and to understand the effect of each predictor on the likelihood of being in the different patient satisfaction clusters. ...
Methods. Logistic regression models for low birthweight and preterm birth outcomes are first fitted with medical record data on maternal risks and use of prenatal visits for more than 3,485 women receiving care at 27 ambulatory sites, correcting for clustering of women within sites. Results. The...
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Logistic regression revealed that no other variable added to the explanation of fall status once the variance attributable to the SST 10% TBW (91.1%) was included in the predictive equation. CONCLUSIONS: The SST is a quantitative, reliable, and valid clinical measure of standing balance. The ...
The unit of analysis is the election. We use linear probability models with region fixed effects and robust standard errors clustered by country. Linear probability models are a more appropriate estimation method than logistic regression, which assumes the independence of observations. The results from...