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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

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Reference TypeJournal (article/letter/editorial)
TitleBayesian methods for generalized linear models with covariates missing at random
JournalCanadian Journal of Statistics
AuthorsIbrahim, Joseph G.Author
Chen, Ming-HuiAuthor
Lipsitz, Stuart R.Author
Year2002 (March)Volume30
PublisherWiley
DOIdoi:10.2307/3315865Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID11344037Long-form Identifiermindat:1:5:11344037:7
GUID0
Full ReferenceIbrahim, 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
Plain TextIbrahim, 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
In(n.d.) Canadian Journal of Statistics Vol. 30. Wiley

See Also

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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
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
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
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
Ibrahim, Joseph G., Chen, Ming-Hui, MacEachern, Steven N. (1999) Bayesian variable selection for proportional hazards models. Canadian Journal of Statistics, 27. 701-717 doi:10.2307/3316126
Chen, Ming‐Hui, Ibrahim, Joseph G. (2001) Maximum Likelihood Methods for Cure Rate Models with Missing Covariates. Biometrics, 57 (1). 43-52 doi:10.1111/j.0006-341x.2001.00043.x
Sinha, Sanjoy K. (2008) Robust methods for generalized linear models with nonignorable missing covariates. Canadian Journal of Statistics, 36. 277-299 doi:10.1002/cjs.5550360207
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
Dhara, Kumaresh, Lipsitz, Stuart, Pati, Debdeep, Sinha, Debajyoti (2020) A New Bayesian Single Index Model with or without Covariates Missing at Random. Bayesian Analysis, 15 (3) doi:10.1214/19-ba1170
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
Lipsitz, Stuart R., Ibrahim, Joseph G., Fitzmaurice, Garrett M. (1999) Likelihood Methods for Incomplete Longitudinal Binary Responses with Incomplete Categorical Covariates. Biometrics, 55 (1). 214-223 doi:10.1111/j.0006-341x.1999.00214.x
 
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