Analysis of Multivariate Disease Classification Data in the Presence of Partially Missing Disease Traits
In modern cancer epidemiology, diseases are classified based on pathologic and molecular traits, and different combinations of these traits give rise to many disease subtypes. The effect of predictor variables can be measured by fitting a polytomous logistic model to such data. The differences (hete...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4270282/ |