Results 1 to 10 of about 580,777 (188)

Longitudinal analysis of symptom-based clustering in patients with primary Sjogren’s syndrome: a prospective cohort study with a 5-year follow-up period

Journal of Translational Medicine, 2021
Background Sjogren’s syndrome (SS) is a heterogenous disease with various phenotypes. We aimed to provide a relevant subclassification based on symptom-based clustering for patients with primary (p) SS.
Jennifer Jooha Lee, Young Jae Park, Misun Park, Hyeon Woo Yim, Sung Hwan Park, Seung-Ki Kwok   +5 more
doaj   +1 more source

Application of latent class analysis in assessing the competency of physicians in China

BMC Medical Education, 2017
Background The physicians’ competency is an important public health issue around the world. Several international organizations have taken the lead in examining the competencies required to be a physician.
Zhuang Liu, Yue Zhang, Lei Tian, Baozhi Sun, Qing Chang, Yuhong Zhao   +5 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

Analysis of social class by LCA in patients with schizophrenia: change in psychopathology after 12- month of treatment

Psychiatry and Clinical Psychopharmacology, 2021
Objective: The social factors may contribute to the heterogeneous course of schizophrenia and relationship between these factors and the level of care received is complex.
Mete Saylan, Alp Ucok, Sükrü Uguz, Tamas Treuer, Aytekin Sir   +4 more
doaj  

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

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

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