Three-group ROC predictive analysis for ordinal outcomes
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1212074
Abstract: ABSTRACT Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, machine learning, and credit scoring. The receiver operating characteristic (ROC) surface is a useful tool to assess the ability of… read more here.
Keywords: three group; ordinal outcomes; group roc; analysis ordinal ... See more keywords
High-dimensional variable selection for ordinal outcomes with error control
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbaa007
Abstract: Many high-throughput genomic applications involve a large set of potential covariates and a response which is frequently measured on an ordinal scale, and it is crucial to identify which variables are truly associated with the… read more here.
Keywords: high dimensional; ordinal outcomes; selection; selection ordinal ... See more keywords
Sharp bounds on the relative treatment effect for ordinal outcomes.
Sign Up to like & getrecommendations! Published in 2019 at "Biometrics"
DOI: 10.1111/biom.13148
Abstract: For ordinal outcomes, the average treatment effect is often ill-defined and hard to interpret. Echoing Agresti and Kateri, we argue that the relative treatment effect can be a useful measure, especially for ordinal outcomes, which… read more here.
Keywords: sharp bounds; ordinal outcomes; treatment; relative treatment ... See more keywords