76 citations · 94 across the 4 of their papers we have counts for
4 papers
A two-stage estimation procedure for non-linear structural equation models
Klaus Kähler Holst, Esben Budtz-Jørgensen
Applications of structural equation models (SEMs) are often restricted to linear associations between variables. Maximum likelihood (ML) estimation in non-linear models may be comp…
A latent variable model with mixed binary and continuous response variables
Klaus K. Holst, Esben Budtz-Jørgensen, Gitte Moos Knudsen
We propose a method for obtaining maximum likelihood estimates in a model with continuous and binary outcomes. Combinations of left and right censored observations are also natural…
Linear Latent Variable Models: The lava-package
Klaus K. Holst, Esben Budtz-Jørgensen
An R package for specifying and estimating linear latent variable models is presented. The philosophy of the implementation is to separate the model specification from the actual d…
An estimating equations approach to fitting latent exposure models with longitudinal health outcomes
Brisa N. Sánchez, Esben Budtz-Jørgensen, Louise M. Ryan
The analysis of data arising from environmental health studies which collect a large number of measures of exposure can benefit from using latent variable models to summarize expos…