In the validation data set, specificity and sensitivity were 31.3% and 96.6%, respectively. Cancers that were missed by the CART were Gleason score 6 or less in 93.4% of cases. Receiver operator ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

Missing data are a major hindrance to statistical analysis because standard methods require the missing values to be imputed first. AMELIA and MICE fiare two popular imputation methods, but their ...

In this paper, we introduce a tree-based approach adjusting for observable self-selection bias in intervention studies in management research. In contrast to traditional propensity score (PS) matching ...

We investigate Classification and Regression Trees (CART) to forecast the equity risk premium. We work with European Monetary Union (EMU) data for a period that spans from 2000 to 2020. We analyse the ...

Regression trees facilitated insights into the significance of uncertain factors and decision variables combinations on system performance. Additionally, they create highly interpretable framework ...

Improved Detection of Prostate Cancer Using Classification and Regression Tree Analysis Authors: Mark Garzotto, Tomasz M. Beer, R. Guy Hudson, Laura Peters, Yi-Ching Hsieh, Eduardo Barrera, Thomas ...