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Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data

Autor: Marín Jimenez, Ana Eugenia, Roldán Nofuentes, José Antonio

Publikováno v: SORT-Statistics and Operations Research Transactions; 2014: Vol.: 38 Núm.: 2 July-December; p. 305-324
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
oai:raco.cat:article/284047
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

In this article, a global hypothesis test is studied to simultaneously compare the likelihood ratios of multiple binary diagnostic tests when in the presence of partial disease verification the missing data mechanism is ignorable. The hypothesis test

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::49ff47dfa794a6f36e06fdc14a7dba56
https://hdl.handle.net/2117/88560