Sequential rank agreement methods for comparison of ranked lists.

  title={Sequential rank agreement methods for comparison of ranked lists.},
  author={Claus Thorn Ekstr{\o}m and Thomas Gerds and Andreas Emil Kryger Jensen},
The comparison of alternative rankings of a set of items is a general and common task in applied statistics. Predictor variables are ranked according to magnitude of association with an outcome, prediction models rank subjects according to the personalized risk of an event, and genetic studies rank genes according to their difference in gene expression levels. We propose a sequential rank agreement measure to quantify the rank agreement among two or more ordered lists. This measure has an… CONTINUE READING
Twitter Mention

Topics from this paper.


Publications referenced by this paper.

Similar Papers

Loading similar papers…