Results 241 to 250 of about 10,086 (288)

Large-Scale Psychometric Assessment and Validation of the Modified COVID-19 Yorkshire Rehabilitation Scale Patient-Reported Outcome Measure for Long COVID or Post-COVID Syndrome. [PDF]

J Med Virol
Horton M, Smith AB, Milne R, Winch D, Rayner C, Halpin S, O'Connor R, Rocha Lawrence R, Greenwood DC, Bakerly ND, Evans R, Kwon J, Dawes H, Wood C, Williams P, Master H, Mansoubi M, De Kock JH, Mullard J, Ormerod M, Mir G, Petrou S, O'Connor DB, Sivan M, LOCOMOTION Consortium.   +24 more
europepmc   +1 more source

Cooking fuel choices and household respiratory health in Nigeria. [PDF]

BMC Public Health
Olasehinde N, Ajayi P, Oloyede O.
europepmc   +1 more source

Investigating Emerging Mobility Service Needs and Priorities for Integrated Transport Systems: A Hybrid Rank-Ordered Logit Model Approach

Youmi Oh, Jinhee Kim
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Understanding and interpreting generalized ordered logit models

Journal of Mathematical Sociology, 2016
ABSTRACTWhen outcome variables are ordinal rather than continuous, the ordered logit model, aka the proportional odds model (ologit/po), is a popular analytical method. However, generalized ordered logit/partial proportional odds models (gologit/ppo) are often a superior alternative.
Richard Williams
exaly   +2 more sources

Ordered Logit Model

2014
The ordered logit model is a regression model for an ordinal response variable. The model is based on the cumulative probabilities of the response variable: in particular, the logit of each cumulative probability is assumed to be a linear function of the covariates with regression coefficients constant across response categories.
Grilli, Leonardo, Rampichini, Carla
openaire   +2 more sources

Simple inference in multinomial and ordered logit

Econometric Reviews, 1998
This paper provides some simple methods of interpreting the coefficients in multinomial logit and ordered logit models. These methods are summarized in Propositions concerning the magnitudes, signs, and patterns of partial derivatives of the outcome probabilities with respect to the exogenousvariables.
David L. Crawford, Robert A. Pollak, Francis Vella   +2 more
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Perceptual Mapping Using Ordered Logit Analysis

Marketing Science, 1990
This study is to present a new method for constructing a perceptual map based on logit analysis. This is an extension of the explosion logit model of an individual choice to a problem of perceptual mapping giving rise to advantages over existing methods in various aspects. Firstly, input data format is flexible and user-friendly.
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Efficiency Gains in Rank‐ordered Multinomial Logit Models

Oxford Bulletin of Economics and Statistics, 2017
AbstractThis paper considers estimation of discrete choice models when agents report their ranking of the alternatives (or some of them) rather than just the utility maximizing alternative. We investigate the parametric conditional rank‐ordered Logit model. We show that conditions for identification do not change even if we observe ranking.
Arie Beresteanu, Federico Zincenko
openaire   +1 more source