Matching conditional and marginal shapes in binary random intercept models using a bridge distribution function

By Zengri J. Wang, Thomas A. Louis. 2003

119 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4eee0f6124d54f68c4cd26681fccb236bc3ef45e

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. Adrien Saumard
2. Jon A. Wellner
3. Ying Zhang
4. Guillaume P. Dehaene
5. Jian Huang

In Statistics and Probability

1. Adrien Saumard
2. Jon A. Wellner
3. Richard J. Samworth
4. Shahar Mendelson
5. Michael R. Kosorok
6. Ying Zhang
7. Victor Chernozhukov
8. Moulinath Banerjee

Citations in the corpus

• Log-Concavity and Strong Log-Concavity: a review (2014, methodology): “This particular family of densities on R was introduced in the context of binary mixed effects models by Wang and Louis (2003).”
• Longitudinal Data Analysis. Handbooks of Modern Statistical Methods (2009, unknown): “© 2009 by Taylor & Francis Group, LLC proaches that formulate conditional models subject to marginal specification (e.g., Fitzmaurice and Laird, 1993; Azzalini, 1994; Heagerty, 2002; see also Wang and Louis, 2003).”