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Mixture model

Split model in two:

A dose-response model as just presented

A parametric time to event component

Likelihood contributions:

Patient experiencing event at time

:

L

+

=p(EUD(n,m),Y

i

)*

f(

)

Patient without event until end of follow-up at

L

-

=1-p(EUD(n,m),Y

i

)*

F(

)

Where F is the cumulative of f