Theory and inference for regression models with missing responses and covariates
Author:
Publisher
Elsevier BV
Subject
Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability
Reference19 articles.
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2. Semiparametric models for missing covariate and response data in regression models;Chen;Biometrics,2006
3. Propriety of the posterior distribution and existence of the maximum likelihood estimator for regression models with covariates missing at random;Chen;J. Amer. Statist. Assoc.,2004
4. Likelihood-based methods for missing covariates in the cox proportional hazards model;Herring;J. Amer. Statist. Assoc.,2001
5. Maximum likelihood analysis of generalized linear models with missing covariates;Horton;Statist. Methods Med. Res.,1999
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