Results 31 to 40 of about 525,986 (287)
Qualitative - Binary, Nominal and Ordinal Data Analysis in Medical Science
National Journal of Community Medicine, 2022 The outcome of any medical research is belonged to the human beings. The correct application of statistical test has its paramount importance. This article provides the details of categorical data analysis test with example and with its interpretation ...
Swati Patel
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Journal of MultiDisciplinary Evaluation, 2015 Background: Evaluation work frequently utilizes factor analysis to establish the dimensionality, reliability, and stability of surveys. However, survey data is typically ordinal, violating the assumptions of most statistical methods, and thus is often ...
Megan Sanders +2 more
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Smoothing in Ordinal Regression: An Application to Sensory Data
Stats, 2021 The so-called proportional odds assumption is popular in cumulative, ordinal regression. In practice, however, such an assumption is sometimes too restrictive.
Ejike R. Ugba +2 more
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Semiparametric Modeling of Ordinal Data [PDF]
, 2000 Parametric models for categorical ordinal response variables, like the proportional odds model or the continuation ratio model, assume that the predictor is given as a linear form of covariates.
Kauermann, Göran, Tutz, Gerhard
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brms: An R Package for Bayesian Multilevel Models Using Stan
Journal of Statistical Software, 2017 The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear, robust linear, binomial ...
Paul-Christian Bürkner
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Incremental Sparse Bayesian Ordinal Regression [PDF]
, 2018 Ordinal Regression (OR) aims to model the ordering information between different data categories, which is a crucial topic in multi-label learning. An important class of approaches to OR models the problem as a linear combination of basis functions that ...
de Rijke, Maarten, Li, Chang
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Ordinal Synchronization: Using ordinal patterns to capture interdependencies between time series
, 2018 We introduce Ordinal Synchronization ($OS$) as a new measure to quantify synchronization between dynamical systems. $OS$ is calculated from the extraction of the ordinal patterns related to two time series, their transformation into $D$-dimensional ...
Buldú, Javier M. +4 more
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Quantifying association in ordinal data [PDF]
Journal of Family Planning and Reproductive Health Care, 2010 What is non-parametric correlation? A non-parametric (or ordinal) correlation coefficient for two variables quantifies the extent to which there is, in the study sample, a consistent relationship between the values for the two variables. The correlation coefficient indexes the strength of the relationship found, from zero (no discernible relationship ...
openaire +2 more sources
Analyzing the health status of the population using ordinal data [PDF]
Computational Methods in Social Sciences, 2015 We intend to estimate the health status of the people using a Gini kind index GO for measuring the inequality and a polarization indicator PO too.
Maria Livia ŞTEFĂNESCU
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Frailty Exacerbates Disability in Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source