Analysis of multivariate longitudinal substance use outcomes using multivariate mixed cumulative logit model [PDF]
BMC Medical Research Methodology, 2021 Background Longitudinal assessments of usage are often conducted for multiple substances (e.g., cigarettes, alcohol and marijuana) and research interests are often focused on the inter-substance association.
Xiaolei Lin +2 more
doaj +2 more sources
Integrating a Pareto-Distributed Scale into the Mixed Logit Model: A Mathematical Concept [PDF]
Mathematics, 2023 A generalized multinomial logit (G-MNL) model is proposed to alleviate the four challenges inherent to the conditional logit model, including (1) simultaneous unidentifiability, (2) the immediacy of decision-making, (3) the homogeneity of preferences in ...
Taro Ohdoko, Satoru Komatsu
doaj +2 more sources
Identifying Risk Factors for Autos and Trucks on Highway-Railroad Grade Crossings Based on Mixed Logit Model. [PDF]
Int J Environ Res Public Health, 2022 Wu L, Shen Q, Li G.
europepmc +3 more sources
Biases in the Maximum Simulated Likelihood Estimation of the Mixed Logit Model [PDF]
EconometricsIn a recent study, it was demonstrated that the maximum simulated likelihood (MSL) estimator produces significant biases when applied to the bivariate normal and bivariate Poisson-lognormal models.
Maksat Jumamyradov +3 more
doaj +2 more sources
A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]
, 2011 Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over
Michael Parzen +6 more
openalex +6 more sources
Analyzing data from memory tasks - comparison of ANOVA, logistic regression and mixed logit model [PDF]
Psihologija, 2018 We compared three statistical analyses over binary outcomes. As applying ANOVA over proportions violates at least two classical assumptions of linear models, two alternatives are described: the binary logistic regression and the mixed logit model ...
Popović-Stijačić Milica +2 more
doaj +3 more sources
Standard and Shuffled Halton Sequences in a Mixed Logit Model [PDF]
, 2008 Modeling consumer choice in different areas has lead to an increase use of discrete choice models. Probit or Multinomial Logit Models are often the base of further empirical research of consumer choice. In some of these models the equations to solve have
Alexander Staus
core +7 more sources
Econometric analysis of consumers' preference heterogeneity for yoghurt and ice cream products in Tanzania: A latent class model and mixed logit model. [PDF]
HeliyonKadigi ML, Philip D, Mlay GI, Mdoe NS.
europepmc +2 more sources
A Conic Integer Programming Approach to Constrained Assortment Optimization under the Mixed Multinomial Logit Model [PDF]
, 2017 We consider the constrained assortment optimization problem under the mixed multinomial logit model. Even moderately sized instances of this problem are challenging to solve directly using standard mixed-integer linear optimization formulations. This has
Alper Şen +2 more
openalex +4 more sources
Effects of intersection control types on driver yielding behavior to cyclists using mixed logit modeling. [PDF]
Sci RepAbushattal M +2 more
europepmc +3 more sources