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  "Title": "Ordinal Regression Analysis for Continuous Scales",
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  "Description": "A regression framework for response variables which are\ncontinuous self-rating scales such as the Visual Analog Scale\n(VAS) used in pain assessment, or the Linear Analog\nSelf-Assessment (LASA) scales in quality of life studies. These\nscales measure subjects' perception of an intangible quantity,\nand cannot be handled as ratio variables because of their\ninherent non-linearity. We treat them as ordinal variables,\nmeasured on a continuous scale. A function (the g function)\nconnects the scale with an underlying continuous latent\nvariable. The link function is the inverse of the CDF of the\nassumed underlying distribution of the latent variable. A\nvariety of link functions are currently implemented. Such\nmodels are described in Manuguerra et al (2020)\n<doi:10.18637/jss.v096.i08>.",
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