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Semiparametric Models: Issues
Advantages
•Can handle sparse
data
•More robust than any
single parametric model
Disadvantages
•Not easily interpreted
when semiparametric model does not hold
•Little reason to
suggest a given risk factor would affect distribution in only one
way