Latent Class Analysis of Complex Sample Survey Data

By Blossom H. Patterson, C. Dayton, B. Graubard. 2002

63 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/cff8d7ce834ebdd7e18247f4444e315ec872c4f9

How researchers see this paper

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

In Public Health, Environmental and Occupational Health

1. Zachary K. Collier
2. Jeroen K. Vermunt
3. Walter L. Leite

Citations in the corpus

• Multilevel modelling of complex survey data (2006, background): “Wedel et al. (1998), Patterson et al. (2002) and Vermunt (2002) discussed pseudo-maximum-likelihood estimation of latent class models by using complex survey data with weighting at level 2 (subjects).”
• A Comparison of Three-Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis (2017, methodology): “We simulated data for two-class LCA and LPA population models because similar two-class models have frequently been used in applied research such as that of Pickles et al. (1995), Klonsky and Olino (2008), and Ubersax and Grove (1990).”
• Latent Class Modeling with Covariates: Two Improved Three-Step Approaches (2010, methodology): “This suggests that correct SEs can be obtained with the linearization (sandwich) variance estimator (Skinner, Holt, and Smith 1989) or alternatively with a jackknife variance estimator (Patterson, Dayton, and Graubard 2002).”