Results 101 to 110 of about 9,854,297 (301)
Class descriptions and probabilities of class membership for best-fitting latent class models.
, 2014 Class descriptions and probabilities of class membership for best-fitting latent class models.
Kathryn Lemery-Chalfant (606706) +6 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
Simulation Based Estimation for Generalized Latent Linear Variables Models
, 2012 Generalized Linear Latent Variables Models (GLLVM) constitute a broad class of models that offer a general framework for modeling relationships between manifest and latent variables, as the manifest variables can follow any distribution of the ...
Maria-Pia Victoria Feser +1 more
core
Arthritis Care &Research, EarlyView.Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Effective Dimensions of Hierarchical Latent Class Models
Journal of Artificial Intelligence Research, 2004 Hierarchical latent class (HLC) models are tree-structured Bayesian networks where leaf nodes are observed while internal nodes are latent. There are no theoretically well justified model selection criteria for HLC models in particular and Bayesian networks with latent nodes in general.
Zhang, NL, Kocka, T.
openaire +5 more sources
Estimating nonparametric mixed logit models via EM algorithm [PDF]
The aim of this paper is to describe a Stata routine for the nonparametric estimation of mixed logit models using a Expectation-Maximisation algorithm. We also compare the performance of our estimator with respect to more typical parametric mixed logit ...
Daniele Pacifico
core
Testing Six Subsequent Latent Class Analysis Models.
, 2014 * Information criteria evaluating the quality of latent class solution: L2 - The likelihood-ratio goodness-of-fit, BIC (Bayes Information Criterion), AWE (Approximate Weight of Evidence, similar to BIC but also takes classification performance into ...
Wendy A. Davis (394242) +5 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin +7 more
wiley +1 more source
Enhanced measurement equations for latent class choice models [PDF]
Integrating psychometric indicators in latent class choice models allows to enhance the characterization of the latent classes. In this research, we consider measurement equations that include socio-economic indicators of the decision-makers.
Glerum, Aurélie +3 more
core +1 more source
Latent class models for nonmonotone dichotomous items
restricted latent class models, attitudinal scaling, dichotomous point items, Guttman scale, response-errors, intrinsically unscalable persons, latent distance models,
Anton Formann
core +1 more source