Data Centers Talen, Amazon Launch $18B Nuclear PPA—A Grid-Connected IPP Model for the Data Center Era By Sonal Patel Thursday, June 12, 2025 SHARE: ...

The variables were analyzed descriptively using frequency, and binary logistic regression models were used to measure the association between satisfaction and factors related to the dentist and the ...

There is a lack of evidence-based literature on machine learning models in predicting the appropriate RME technique. In our study a hybrid method was developed by combining binary logistic regression ...

Learn More. Logistic regression is a statistical technique used to determine the relationship between two data factors to make a binary prediction.

Mixed-effect binary logistic regression model of individual- and community-level factors predicting non-uptake of dual protective polio vaccine in Ethiopia using the Ethiopian Demographic Health ...

Methods: The study involved two groups—PTC patients and non-PTC controls. We utilized binary logistic regression and Least Absolute Shrinkage and Selection Operator (Lasso) regression for variable ...