Bayesian methods for generalized linear models with covariates missing at random

By Joseph G. Ibrahim, Ming-Hui Chen, Stuart R. Lipsitz. 2002

109 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/28fa84b1c5a7ed49885e57146879e6b9bfcc1e17

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Joseph G. Ibrahim
2. Geert Molenberghs
3. Nicholas J. Horton
4. Dale J. Barr
5. M. Loon
6. Aaron M. Christ
7. Dimitris Rizopoulos
8. Daniel M. McNeish

In Statistics and Probability

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

Citations in the corpus

• Missing data methods in longitudinal studies: a review (2009, background): “These issues as well as other modeling and elicitation issues are discussed in Ibrahim et al (2001) (Chapter 8), [Ibrahim et al (2002), Chen et al (2002), Chen, Ibrahim, Shao (2004), Chen, Ibrahim, Shao (2006), and Ibrahim Chen, Kim (2008).”