Results 91 to 100 of about 9,468,510 (297)

Modelling Charitable Donations: A Latent Class Panel Approach [PDF]

open access: yes
: 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 ...
Mark N Harris, sarah Brown, Karl Taylor
core  

Inebilizumab in AQP4‐Seropositive NMOSD: One‐Year Follow‐Up From a Multicenter, Real‐World Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Real‐world evidence on inebilizumab among neuromyelitis optica spectrum disorder (NMOSD) patients is lacking. This study assessed inebilizumab among Chinese patients with aquaporin 4 autoantibody (AQP4‐IgG)‐seropositive NMOSD in a real‐world setting.
Mengcui Gui   +10 more
wiley   +1 more source

Extending dynamic segmentation with lead generation: A latent class Markov analysis of financial product portfolios [PDF]

open access: yes
A recent development in marketing research concerns the incorporation of dynamics in consumer segmentation.This paper extends the latent class Markov model, a suitable technique for conducting dynamic segmentation, in order to facilitate lead generation ...
Vermunt, J.K.   +2 more
core  

Efficient state-space inference of periodic latent force models [PDF]

open access: yes, 2013
Latent force models (LFM) are principled approaches to incorporating solutions to differential equations within non-parametric inference methods.
Siddhartha Ghosh   +15 more
core  

Multilevel Latent Class with CUB Models

open access: yesJournal of Classification
Abstract We propose a latent class model for ordinal data with CUB (combination of discrete uniform and shifted binomial) distributions in the case of multilevel structures of the data. The CUB model is a powerful approach to the analysis of ordinal data, where the elicitation process is thought to be governed by a feeling parameter ...
Piras N., Columbu S., Jacques J.
openaire   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Impact of "Seguro Popular" on Prenatal Visits in Mexico, 2002-2005: Latent Class Model of Count Data with a Discrete Endogenous Variable [PDF]

open access: yes
We employ a latent class model to assess the impact of Mexico's Seguro Popular ("SP") program on the number of prenatal visits in a cross-sectional sample of 4,381 women who gave birth during 2002-2005.
Jeffrey E. Harris, Sandra G. Sosa-Rubi
core  

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli   +13 more
wiley   +1 more source

Market Feasibility of Faecal Sludge and Municipal Solid Waste-Based Compost as Measured by Farmers’ Willingness-to-Pay for Product Attributes: Evidence from Kampala, Uganda

open access: yesResources, 2017
There is a great potential to close the nutrient recycling loop, support a ‘circular economy’ and improve cost recovery within the waste sector and to create viable businesses via the conversion of waste to organic fertilizers.
George K. Danso   +4 more
doaj   +1 more source

A latent class model for competing risks.

open access: yesStatistics in medicine, 2017
Survival data analysis becomes complex when the proportional hazards assumption is violated at population level or when crude hazard rates are no longer estimators of marginal ones. We develop a Bayesian survival analysis method to deal with these situations, on the basis of assuming that the complexities are induced by latent cohort or disease ...
Rowley, M.   +10 more
openaire   +4 more sources

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