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Relative Efficiencies of a Class of Goodness of Fit Tests for Randomly Censored Data
Author(s) -
Koziol J. A.
Publication year - 1987
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710290314
Subject(s) - goodness of fit , censorship , statistics , class (philosophy) , mathematics , econometrics , efficiency , computer science , artificial intelligence , law , estimator , political science
We investigate the relative performances of a class of goodness of fit procedures for randomly censored data. For purposes of planning experiments, we quantify the loss of information induced by censorship. We evaluate efficiencies against particular alternatives of interest in survival studies, as the amount of censorship increases. We caution against attributing various power and efficiency properties of the goodness of fit criteria that are obtained under no censorship to situations where the censorship is far from negligible.