Data-derived subtypes of delirium during critical illnessResearch in context
Summary: Background: To understand delirium heterogeneity, prior work relied on psychomotor symptoms or risk factors to identify subtypes. Data-driven approaches have used machine learning to identify biologically plausible, treatment-responsive ...
Kelly M. Potter +7 more
doaj +1 more source
Generalized latent class modeling using gllamm [PDF]
gllamm can estimate both conventional and unconventional latent class models. Models are specified using discrete latent variables whose values determine the conditional response distributions for the classes. A new feature of gllamm is that latent class
Anders Skrondal +2 more
core
Mental health difficulties and service use of incarcerated women: The influence of violence perpetration and victimization [PDF]
The study investigated the relationships between incarcerated women’s experiences with violence and their mental health with the goal of identifying avenues for more tailored, compassionate responses to their mental health difficulties during ...
Casey, Rachel C
core +1 more source
Trade-offs between Shopping Bags Made of Non-degradable Plastics and Other Materials, Using Latent Class Analysis: The Case of Tianjin, China [PDF]
white pollution, plastic bag ban, conjoint choice experiment, willingness to pay, latent class analysis, China, degradable plastics, cloth, paper, Community/Rural/Urban Development, Consumer/Household Economics, Environmental Economics and Policy, Q1,
Chan-Halbrendt, Catherine +2 more
core +1 more source
Modelling charitable donations: A latent class panel approach [PDF]
We apply a latent class tobit framework to the analysis of charitable donations at the household level where the latent class aspect of the model splits households into two groups, which we subsequently interpret as "low" donators and "high" donators ...
Brown, S., Harris , M.N., Taylor, K.
core
Symptom characteristics of stroke patients latent class analysis
Objective:To classify the symptom characteristics of stroke patients and to explore the differences in demographic characteristics and disease characteristics between patients with different symptom categories.Methods:A total of 275 hospitalized stroke ...
石丹 +4 more
doaj
Background Multimorbidity is strongly associated with disability or functional decline, poor quality of life and high consumption of health care services.
Chau Le Bao Ho +6 more
doaj +1 more source
Tensor decompositions for learning latent variable models [PDF]
This work considers a computationally and statistically efficient parameter estimation method for a wide class of latent variable models---including Gaussian mixture models, hidden Markov models, and latent Dirichlet allocation---which exploits a certain
Anandkumar, Anima +4 more
core +5 more sources
Latent Class Analysis and Latent Profile Analysis
A conceptual overview of latent class analysis and latent profile analysis covering research questions, assumptions, equations, and more.
openaire +1 more source
Determinants of Cross-Border Bank Acquisitions in Transition Economies: A Latent Class Analysis [PDF]
We analyze the microeconomic determinants of cross-border bank acquisitions in 16 transition economies over the period 1996-2006. By using a latent class discrete choice model we explicitly incorporate the macroeconomic and institutional heterogeneity of
Jakob de Haan, Tigran Poghosyan
core

