Squelching some of the mounting excitement over artificial intelligence, a new study shows no improvement in predicting in-hospital mortality after acute MI with machine learning over standard ...

Need to know We propose two new families of differentiable functions for modelling the CAP. We compare four different calibration approaches on a real-world data set. One of the new one-parametric ...

Logistic regression is one of many machine learning techniques for binary classification -- predicting one of two possible discrete values. An example is predicting if a hospital patient is male or ...

The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...

A logistic regression analysis based on the complete cases neglects the information due to subjects with missing values in at least one but not in all covariates. Three different approaches allowing ...

There are a number of possible designs for case-control studies. The simplest uses two separate simple random samples, but an actual study may use more complex sampling procedures. Typically, ...