ordinal regression model
Using the hierarchical ordinal regression model to analyse the intensity of urinary schistosomiasis infection in school children in Lusaka Province, Zambia
... A three-category response variable was analysed using a cumulative ordinal regression model. The response was categorized as follows: no infection (0 epm of urine), light infection (1–100 epm of ...
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Intention to stay and nurses' satisfaction dimensions
... statements. Ordinal regression model; intention to quit was used as the dependent variable and was coded: 0 = agree to quit, 1 = can’t tell, 2 = disagree to ...for ordinal regression ...
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Indian Demonetisation Announcement and Insights from Public Reaction : An Exploratory Study
... and the ordinal regression model to get insights on our research objectives. The findings suggest that the demonetisation move is strongly appreciated by the citizens and considered it to be ...
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Obsessive-compulsive spectrum and suicidality in schizophrenia and mood disorders
... an ordinal regression model examin- ing the effect on suicidality of obsessive- compulsive disorder, obsessive-com- pulsive spectrum self-report domains and study group, the domains ‘Doubt’ and ...
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Causal Measures for Prognostic and Predictive Biomarkers
... In this article, we defined causal measures that indicate whether a biomarker is prognostic and/or predictive. Our measure for prediction is the causal measure version of the interaction term used in ordinal ...
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Predicting Grammaticality on an Ordinal Scale
... We also trained and evaluated on binarized ver- sions of the ordinal GUG labels: a sentence was labeled 1 if the average judgment was at least 3.5 (i.e., would round to 4), and 0 otherwise. Evaluat- ing on a ...
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A measurement error model for binary and ordinal regression
... binary and ordinal regression to data relating the occurrence of respiratory symptoms in children to indoor concentrations of nitrogen dioxide (N0.. 2 ).[r] ...
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Autoregressive transitional ordinal model to test for treatment effect in neurological trials with complex endpoints
... To reflect our simulation study, we selected participants with a ML between C5 - C8 (T1 were discarded, because there is no key muscle caudal to the ML on the UEMS), and considered only patients treated with a low dosage ...
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Cost-sensitive adaboost algorithm for ordinal regression based on extreme learning machine
... (M ∗ , C ∗ , k ∗ ) = (25, 10, 1). (25) While (C ∗ , k ∗ ) are result of the cross-validation process, M ∗ = 25 has been considered as competitive trade-off between efficiency, diversity and accuracy [60]. Several runs of ...
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Modelling Customer Satisfaction at Ghana Commercial Bank: An Application of Ordinal Logit Regression
... This study has established that there is a link between service quality and customer satisfaction in Ghana commercial bank. Meanwhile, previous researches (Jamal and Nasr, 2003 and Parasuraman et al., 1993) found that ...
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Tests of trend between disease outcomes and ordinal covariates discretized from underlying continuous variables: simulation studies and applications to NHANES 2007–2008
... Typically, the procedure utilizes unweighted regres- sion, which ignores variability in estimation of the effect size. Weighted least squares may be more appropriate and increase the efficiency of the estimator. One ...
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Ordinal Regression Based Subpixel Shift Estimation for Video Super-Resolution
... novel regression coe ffi cient features represent- ing two patches, and their corresponding label is the subpixel shift between ...ranking/ordinal regression [5] to per- form subpixel shift ...
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Depression Among Pregnant Latinas In South Carolina
... probit model formulation in Albert and Chib (1993); McCulloch and Rossi (1994); McCulloch et ...sum-of-trees regression to propose multinomial probit Bayesian additive regression trees ...
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Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
... periments, we have set the number of dimensions as 300, which was found to be a good choice in previous work, e.g. (Pennington et al., 2014). We use a context window of 10 words before and af- ter the target word, but ...
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Mathematical Economics Marginal analysis in the consumer behavior theory
... preferences model is designed to deduce the conditions to be imposed on demand by formulating three axioms: First, the existence of continuously differentiable demand functions ! = - ! , , … , , , subject to the ...
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The effects of comorbid Tourette symptoms on distress caused by compulsive-like behavior in very young children: a cross-sectional study
... stepwise regression analysis was performed to assess the effects of the independent variables on distress caused by compulsive-like ...stepwise regression analysis was performed to assess the relationship ...
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Visual grading characteristics and ordinal regression analysis during optimisation of CT head examinations
... and ordinal regression anal- ysis also led to consultation with participating resident radiologists highlighting the importance of image quality criteria for CT head imaging, which could be weighted ...
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Confirmatory factor analysis of the thyroid-related quality of life questionnaire ThyPRO
... one-factor model for each scale was assessed by: 1) overall goodness-of-fit statistics including the com- parative fit index (CFI) and the root mean square error of approximation (RMSEA), where CFI ...3) ...
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Human resources information system (HRIS) enabled human resource management (HRM) performance: a business process management (BPM) perspective
... Lee et al. (2012) argue that ICT application and its influence on BPM are related to three main dimensions, namely (1) changes in workplace (WP), (2) changes in workforce (WF), and (3) changes in organizational structure ...
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Automated part of speech analysis of Urdu: conceptual and technical issues
... mathematical model known as a Markov model is used to take account of as many adjacent tags as possible in calculating the most likely ...Markov model for POS tagging consists of estimating the ...
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