Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

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

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleMissing-Data Methods for Generalized Linear Models
JournalJournal of the American Statistical Association
AuthorsIbrahim, Joseph GAuthor
Chen, Ming-HuiAuthor
Lipsitz, Stuart RAuthor
Herring, Amy HAuthor
Year2005 (March)Volume100
Issue469
PublisherInforma UK Limited
DOIdoi:10.1198/016214504000001844Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9326774Long-form Identifiermindat:1:5:9326774:4
GUID0
Full ReferenceIbrahim, 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
Plain TextIbrahim, 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
In(2005, March) Journal of the American Statistical Association Vol. 100 (469) Informa UK Limited

See Also

These are possibly similar items as determined by title/reference text matching only.

Ibrahim, Joseph G., Chen, Ming-Hui, Lipsitz, Stuart R. (2002) Bayesian methods for generalized linear models with covariates missing at random. Canadian Journal of Statistics, 30. 55-78 doi:10.2307/3315865
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
Herring, Amy H., Ibrahim, Joseph G., Lipsitz, Stuart R. (2002) Frailty Models with Missing Covariates. Biometrics, 58 (1). 98-109 doi:10.1111/j.0006-341x.2002.00098.x
Lang, Joseph B (2005) Homogeneous Linear Predictor Models for Contingency Tables. Journal of the American Statistical Association, 100 (469). 121-134 doi:10.1198/016214504000001042
Ibrahim, J. G., Lipsitz, S. R., Chen, M.-H. (1999) Missing covariates in generalized linear models when the missing data mechanism is non-ignorable. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 61 (1). 173-190 doi:10.1111/1467-9868.00170
Ibrahim, Joseph G., Chen, Ming-Hui, Lipsitz, Stuart R. (1999) Monte Carlo EM for Missing Covariates in Parametric Regression Models. Biometrics, 55 (2). 591-596 doi:10.1111/j.0006-341x.1999.00591.x
Ibrahim, Joseph G, Chen, Ming-Hui, Gray, Robert J (2002) Bayesian Models for Gene Expression With DNA Microarray Data. Journal of the American Statistical Association, 97 (457). 88-99 doi:10.1198/016214502753479257
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
Lipsitz, Stuart R., Ibrahim, Joseph G., Zhao, Lue Ping (1999) A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood. Journal of the American Statistical Association, 94 (448). 1147-1160 doi:10.1080/01621459.1999.10473870
Huang, Lan, Chen, Ming-Hui, Ibrahim, Joseph G. (2005) Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates. Biometrics, 61 (3). 767-780 doi:10.1111/j.1541-0420.2005.00338.x
Ibrahim, Joseph G. (1990) Incomplete Data in Generalized Linear Models. Journal of the American Statistical Association, 85 (411). 765-769 doi:10.1080/01621459.1990.10474938
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 14, 2025 05:00:10
Go to top of page