Variables with non-zero coefficients selected from LASSO were further included in binary logistic regression analysis to assess their independent effects on drooling symptoms in patients undergoing ...

In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework with Bayesian method was proposed, aiming to solve the problem of ...

Enhance your sales predictions using Excel's regression analysis tools and improve decision-making with data-driven insights.

In the fast-paced world of financial services, data analysis plays a crucial role in solving complex business problems and extracting valuable insights. Excel, a powerful and versatile tool, has ...

A logistic regression model was used to test for associations between predictor variables while adjusting for confounders on the categorical outcome variable. The traditional negative binomial ...

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The application of logistic regression is widely used in medical research. The detection of outliers has become an essential part of logistic regression. It is often observed outliers have a ...