A Bayesian analysis of bivariate ordered categorical responses using a latent variable regression model: Application to diabetic retinopathy data
Latent variable distribution models are frequently utilized for analyzing bivariate ordered categorical response data. In this context, choosing the bivariate normal distribution as the underlying latent distribution, which leads to the bivariate cumulative probit model, is the most common strategy...
| Main Authors: | , , , , |
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| Format: | Article |
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Academic Journals
2010
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