Latent class logistic regression: application to marijuana use and attitudes among high school seniors

By Hwan Chung, Brian P. Flaherty, Joseph L. Schafer. 2006

88 citations recorded by the source corpus.

Subfields: Pathology and Forensic Medicine, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a66c28be3da8f16c8c374a0b6818a787cd49494a

How researchers see this paper

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

In Pathology and Forensic Medicine

1. Jeroen K. Vermunt

In Statistics and Probability

1. Walter L. Leite
2. Zachary K. Collier
3. Jeroen K. Vermunt
4. Stephanie T. Lanza
5. Joseph L. Schafer
6. Linda M. Collins
7. Craig K. Enders
8. S. van Buuren

Citations in the corpus

• Latent Class Modeling with Covariates: Two Improved Three-Step Approaches (2010, methodology): “Recently, Bayesian estimation procedures for LC models have been proposed (Garrett and Zeger 2000; Garrett, Eaton, and Zeger 2002; Chung, Flaherty, and Schafer 2006).”
• A Comparison of Three-Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis (2017, background): “For instance, Chung, Flaherty, and Schafer (2006) investigated how class membership relates to demographic and lifestyle factors, political beliefs, and religiosity over time in regard to marijuana usage.”
• PROC LCA: A SAS Procedure for Latent Class Analysis (2007, background): “An example of this model appears in Chung et al. (2006), in which latent classes characterized by patterns of marijuana use and attitudes were regressed on year to show historical changes in the prevalence of classes over time.”