Extended rank likelihood regression unifies continuous and ordinal outcomes under a monotone latent linear model with no asymptotic efficiency loss at the continuous and binary extremes and practical conditional prediction intervals.
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Extended rank regression for all ordinal data
Extended rank likelihood regression unifies continuous and ordinal outcomes under a monotone latent linear model with no asymptotic efficiency loss at the continuous and binary extremes and practical conditional prediction intervals.