Multivariate disease progression modeling with longitudinal ordinal data.
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in medicine"
DOI: 10.1002/sim.9770
Abstract: Disease modeling is an essential tool to describe disease progression and its heterogeneity across patients. Usual approaches use continuous data such as biomarkers to assess progression. Nevertheless, categorical or ordinal data such as item responses… read more here.
Keywords: multivariate disease; ordinal data; disease; progression ... See more keywords
Analyzing ordinal data with metric models: What could possibly go wrong?
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Experimental Social Psychology"
DOI: 10.1016/j.jesp.2018.08.009
Abstract: Abstract We surveyed all articles in the Journal of Personality and Social Psychology (JPSP), Psychological Science (PS), and the Journal of Experimental Psychology: General (JEP:G) that mentioned the term “Likert,” and found that 100% of… read more here.
Keywords: ordinal data; metric models; ordered probit; data metric ... See more keywords
Co-Clustering of Ordinal Data via Latent Continuous Random Variables and Not Missing at Random Entries
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DOI: 10.1080/10618600.2020.1739533
Abstract: ABSTRACT This article is about the co-clustering of ordinal data. Such data are very common on e-commerce platforms where customers rank the products/services they bought. In more detail, we focus on arrays of ordinal (possibly… read more here.
Keywords: latent continuous; clustering ordinal; ordinal data; model ... See more keywords
Factor Retention Using Machine Learning With Ordinal Data
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DOI: 10.1177/01466216221089345
Abstract: Determining the number of factors in exploratory factor analysis is probably the most crucial decision when conducting the analysis as it clearly influences the meaningfulness of the results (i.e., factorial validity). A new method called… read more here.
Keywords: factor; factor retention; machine learning; ordinal data ... See more keywords
Testing equality and interval estimation of the generalized odds ratio in ordinal data under a three-period crossover design
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DOI: 10.1177/0962280215569623
Abstract: The crossover design can be of use to save the number of patients or improve power of a parallel groups design in studying treatments to noncurable chronic diseases. We propose using the generalized odds ratio… read more here.
Keywords: crossover; ordinal data; period; generalized odds ... See more keywords