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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

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Reference TypeJournal (article/letter/editorial)
TitleA Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood
JournalJournal of the American Statistical Association
AuthorsLipsitz, Stuart R.Author
Ibrahim, Joseph G.Author
Zhao, Lue PingAuthor
Year1999 (December)Volume94
Issue448
PublisherInforma UK Limited
DOIdoi:10.1080/01621459.1999.10473870Search in ResearchGate
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Mindat Ref. ID9325802Long-form Identifiermindat:1:5:9325802:9
GUID0
Full ReferenceLipsitz, 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
Plain TextLipsitz, 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
In(1999, December) Journal of the American Statistical Association Vol. 94 (448) Informa UK Limited

See Also

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Wang, C. Y., Wang, Suojin, Zhao, Lue-Ping, Ou, Shyh-Tyan (1997) Weighted Semiparametric Estimation in Regression Analysis with Missing Covariate Data. Journal of the American Statistical Association, 92 (438). 512-525 doi:10.1080/01621459.1997.10474004
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
Chen, Qingxia, Zeng, Donglin, Ibrahim, Joseph G (2007) Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random. Journal of the American Statistical Association, 102 (480). 1309-1317 doi:10.1198/016214507000001058
Lang, Joseph B., McDonald, John W., Smith, Peter W. F. (1999) Association-Marginal Modeling of Multivariate Categorical Responses: A Maximum Likelihood Approach. Journal of the American Statistical Association, 94 (448). 1161-1171 doi:10.1080/01621459.1999.10473871
Mellen, Beverly G. (1999) Modeling Epidemiologic Typing Data and Likelihood Inference for Disease Spread. Journal of the American Statistical Association, 94 (448). 1015-1024 doi:10.1080/01621459.1999.10473854
Lipsitz, Stuart R., Fitzmaurice, Garrett M., Ibrahim, Joseph G., Sinha, Debajyoti, Parzen, Michael, Lipshultz, Steven (2009) Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: an application to acquired immune deficiency syndrome data. Journal of the Royal Statistical Society: Series A (Statistics in Society), 172. 3-20 doi:10.1111/j.1467-985x.2008.00564.x
Chen, Ming-Hui, Ibrahim, Joseph G., Sinha, Debajyoti (1999) A New Bayesian Model for Survival Data with a Surviving Fraction. Journal of the American Statistical Association, 94 (447). 909-919 doi:10.1080/01621459.1999.10474196
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
Fuchs, Camil (1982) Maximum Likelihood Estimation and Model Selection in Contingency Tables with Missing Data. Journal of the American Statistical Association, 77 (378). 270-278 doi:10.1080/01621459.1982.10477795
Robins, James M., Rotnitzky, Andrea, Zhao, Lue Ping (1995) Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data. Journal of the American Statistical Association, 90 (429). 106-121 doi:10.1080/01621459.1995.10476493
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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