Results 11 to 20 of about 114,823 (232)
On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio [PDF]
Risks, 2018 We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for an ordered stereotype model (OSM).
Tatjana Miljkovic +1 more
doaj +3 more sources
Mixture-based Clustering for the Ordered Stereotype Model
, 2015 Many of the methods which deal with the reduction of dimensionality in matrices of data are based on mathematical techniques. In general, it is not possible to use statistical inferences or select the appropriateness of a model via information criteria ...
Fernández MartÃnez, Daniel
semanticscholar +4 more sources
Bayesian Inference for the Stereotype Regression Model: Application to a Case-control Study of Prostate Cancer [PDF]
Statistics in Medicine, 2009 The stereotype regression model for categorical outcomes, proposed by Anderson (J. Roy. Statist. Soc. B. 1984; 46:1–30) is nested between the baseline‐category logits and adjacent category logits model with proportional odds structure.
Jaeil Ahn +3 more
semanticscholar +2 more sources
Assigning scores for ordered categorical responses
Journal of Applied Statistics, 2019 Deciding on the best statistical method to apply when the response variable is ordinal is essential because the way the categories are ordered in the data is relevant as it could change the results of the analysis.
D. Fernández +3 more
semanticscholar +3 more sources
University of Toronto Journal of Public Health, 2023 Introduction: Stereotype regression models provide a parsimonious solution for analyzing ordinal response variables. When the proportional odds assumption is violated, these models offer a viable alternative to more commonly used cumulative logit models.
Mohammad Reza Fahimi +2 more
semanticscholar +2 more sources
Archetypal analysis for ordinal data [PDF]
Information Sciences, 2021 Archetypoid analysis (ADA) is an exploratory approach that explains a set of continuous observations as mixtures of pure (extreme) patterns. Those patterns (archetypoids) are actual observations of the sample which makes the results of this technique ...
D. Fernández +2 more
semanticscholar +2 more sources
Launay–Slade Hallucination Scale-Extended: simplifying its interpretation [PDF]
Psychosis, 2022 Background The Launay–Slade Hallucination Scale – Extended (LSHS-E) is one of the most used self-reported questionnaires to explore the multidimensionality of hallucinatory-like experiences (HLEs).
Daniel Fernández Martínez +4 more
semanticscholar +2 more sources
Adaptation of a cross-national measure of fear-based xenophobia to Turkish culture
Current Psychology, 2022 The purpose of this study is to adapt a cross-national measure of fear-based xenophobia to Turkish culture. This measure is a unidimensional cumulative attitude scale comprising five items, ordered according to difficulty parameters.
Arif Özer, Sait Akbaşlı
semanticscholar +3 more sources
Determinants of active trachoma among rural children aged 1–9 years old in Aw-Bare Wereda, Somali Region of Ethiopia: a cross-sectional study [PDF]
Journal of Health, Population and NutritionIntroduction Chronic and highly contagious, trachoma is a condition characterized by recurrent bacterial infection with ocular strains of Mycoplasma trachoma.
Abdisalam Omer Warsame +1 more
doaj +2 more sources
A tutorial on selecting and interpreting predictive models for ordinal health-related outcomes
Health Services & Outcomes Research Methodology, 2015 Ordinal variables are very often objects of study in health sciences. However, due to the lack of dissemination of models suited for ordinal variables, users often adopt other practices that result in the loss of statistical power.
M. Guzman-Castillo +3 more
semanticscholar +2 more sources