Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model

By A. Herring, Joseph G. Ibrahim. 2001

94 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5e80e1fa69df544f9d66138830e373a18cab5c8b

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In Statistics and Probability

1. Joseph G. Ibrahim
2. Geert Molenberghs
3. Hua Yun Chen
4. Nicholas J. Horton
5. Aaron M. Christ
6. M. Loon
7. Dale J. Barr
8. Ming-Hui Chen

Citations in the corpus

• Missing data methods in longitudinal studies: a review (2009, methodology): “Similar MCEM algorithms have been developed for other types of models, such as generalized linear models and survival models by Ibrahim et al. (1999a, 1999b), Chen and Ibrahim (2002), Herring and Ibrahim (2001, 2002) , Herring et al. (2002, 2004), Chen and Ibrahim (2006), and Chen et al. (2007).”
• Nonparametric and Semiparametric Models for Missing Covariates in Parametric Regression (2004, background): “…distributions (Little and Schluchter 1985; Little 1992; Chen and Little 1999) and another that models them by a sequence of univariate generalized linear models (Lipsitz and Ibrahim 1996, 1998; Ibrahim, Lipsitz, and Chen 1999; Herring and Ibrahim 2001, 2002; Herring, Ibrahim, and Lipsitz 2002).”