Results 21 to 30 of about 580,959 (153)

A latent class analysis of parental bipolar disorder: examining associations with offspring psychopathology [PDF]

, 2015
Bipolar disorder (BD) is highly heterogeneous, and course variations are associated with patient outcomes. This diagnostic complexity challenges identification of patients in greatest need of intervention.
Freed, Rachel D., Henin, Aude, Nierenberg, Andrew A., Otto, Michael W., Tompson, Martha C.   +4 more
core   +1 more source

Erratum to Andruff, Carraro, Thompson, Gaudreau, and Louvet (2009): Latent Class Growth Modelling: A tutorial [PDF]

Tutorials in Quantitative Methods for Psychology, 2013
An error was found in Andruff, Carraro, Thompson, Gaudreau, and Louvet (2009). Here we identify the error and present a correction.
Heather Andruff, Natasha Carraro, Amanda Thompson, Patrick Gaudreau, Benoit Louvet   +4 more
doaj  

Latent class models in financial data analysis

Statistica, 2007
This paper deals with optimal international portfolio choice by developing a latent class approach based on the distinction between international and non-international investors.
Attilio Gardini, Michele Costa, Stefano Iezzi   +2 more
doaj   +1 more source

What methods are used to study the association between medication adherence trajectories, estimated with the group-based trajectory modeling (GBTM) method, and health-related outcomes?—a protocol for a systematic review

Systematic Reviews, 2022
Background The group-based trajectory modeling (GBTM) method is increasingly used in pharmacoepidemiologic studies to describe medication adherence trajectories over time.
Victoria Memoli, Giraud Ekanmian, Carlotta Lunghi, Anne-Déborah Bouhnik, Sophie Lauzier, Line Guénette   +5 more
doaj   +1 more source

Uncovering eHealth Engagement Patterns Through Latent Class Analysis and SHAP: A Data Mining Perspective on Telehealth Access

Information
Understanding how patients engage with digital health technologies is critical for improving the reach and equity of telehealth services. While prior research has largely focused on demographic predictors of telehealth use, this study applies a hybrid ...
Ning Yang, Xin Yang
doaj   +1 more source

Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data

Journal of Statistical Software, 2018
The analysis of binary three-way data (i.e., persons who indicate which attributes apply to each of a set of objects) may be of interest in several substantive domains as sensory profiling, marketing research or personality assessment.
Michel Meulders, Philippe De Bruecker
doaj   +1 more source

Heterogeneous Attitudes of Tourists toward Lionfish in the Mexican Caribbean: Implications for Invasive Species Management

Frontiers in Marine Science, 2017
Indo-Pacific lionfish (Pterois volitans and P. miles) are invasive predators established throughout the Wider Caribbean. They have already caused significant ecological impacts and have the potential to affect local economies that depend on coral reefs ...
Luis Malpica-Cruz, Luis Malpica-Cruz, Wolfgang Haider, Nicola S. Smith, Sergio Fernández-Lozada, Isabelle M. Côté   +5 more
doaj   +1 more source

Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis

ESC Heart Failure, 2021
Aims This study sought to determine whether clinical clusters exist in takotsubo cardiomyopathy. Takotsubo cardiomyopathy (TCM) is a heterogeneous disorder with a complex, poorly understood pathogenesis.
Pengyang Li, Qiying Dai, Peng Cai, Catherine Teng, Su Pan, Richard A.F. Dixon, Qi Liu   +6 more
doaj   +1 more source

A Stochastic Volatility Model With Realized Measures for Option Pricing [PDF]

, 2019
Based on the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of discrete-time stochastic volatility models having two measurement equations relating both observed returns and realized measures to ...
Bormetti, G., Casarin, R., Corsi, F., Livieri, G.   +3 more
core   +5 more sources

Latent tree models

, 2017
Latent tree models are graphical models defined on trees, in which only a subset of variables is observed. They were first discussed by Judea Pearl as tree-decomposable distributions to generalise star-decomposable distributions such as the latent class ...
Zwiernik, Piotr
core   +1 more source