Goodness-of-Fit Tests for Censored Survival Data
Gray, Robert J. ; Pierce, Donald A.
Ann. Statist., Tome 13 (1985) no. 1, p. 552-563 / Harvested from Project Euclid
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The problem of testing the underlying distribution in a general regression model is considered when the data are right censored. It is proposed that tests be based on efficient scores from a certain class of parametric alternatives. The connection between tests based on the scores and more traditional approaches using empirical distribution functions is explored. Neyman's smooth test is extended to allow for censored data.
Publié le : 1985-06-14
Classification:  Goodness-of-fit tests,  censored data,  survival analysis,  Neyman's smooth test,  efficient scores,  generalized residuals,  empirical distribution functions,  62F03,  62G30 
@article{1176349538,
     author = {Gray, Robert J. and Pierce, Donald A.},
     title = {Goodness-of-Fit Tests for Censored Survival Data},
     journal = {Ann. Statist.},
     volume = {13},
     number = {1},
     year = {1985},
     pages = { 552-563},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176349538}
}

Gray, Robert J.; Pierce, Donald A. Goodness-of-Fit Tests for Censored Survival Data. Ann. Statist., Tome 13 (1985) no. 1, pp.  552-563. http://gdmltest.u-ga.fr/item/1176349538/