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Herring, Amy H, Ibrahim, Joseph G (2001) Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model. Journal of the American Statistical Association, 96 (453). 292-302 doi:10.1198/016214501750332866

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Reference TypeJournal (article/letter/editorial)
TitleLikelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model
JournalJournal of the American Statistical Association
AuthorsHerring, Amy HAuthor
Ibrahim, Joseph GAuthor
Year2001 (March)Volume96
Issue453
PublisherInforma UK Limited
DOIdoi:10.1198/016214501750332866Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9326037Long-form Identifiermindat:1:5:9326037:0
GUID0
Full ReferenceHerring, Amy H, Ibrahim, Joseph G (2001) Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model. Journal of the American Statistical Association, 96 (453). 292-302 doi:10.1198/016214501750332866
Plain TextHerring, Amy H, Ibrahim, Joseph G (2001) Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model. Journal of the American Statistical Association, 96 (453). 292-302 doi:10.1198/016214501750332866
In(2001, March) Journal of the American Statistical Association Vol. 96 (453) Informa UK Limited

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Ibrahim, Joseph G, Chen, Ming-Hui, Lipsitz, Stuart R, Herring, Amy H (2005) Missing-Data Methods for Generalized Linear Models. Journal of the American Statistical Association, 100 (469). 332-346 doi:10.1198/016214504000001844
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Chen, Hua Yun (2002) Double-Semiparametric Method for Missing Covariates in Cox Regression Models. Journal of the American Statistical Association, 97 (458). 565-576 doi:10.1198/016214502760047096
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Chen, Ming-Hui, Ibrahim, Joseph G, Shao, Qi-Man (2004) Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random. Journal of the American Statistical Association, 99 (466). 421-438 doi:10.1198/016214504000000368
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