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@ -12,6 +12,11 @@ I think I can get two, maybe three, papers out of this:
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- What is the impact of surragate endpoints on phase transition completion? on phase transition?
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# Models
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The general benefit I can provide is to:
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- Create a straightforward replication/update pathway.
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- Model based on information known at the beginning of the trial.
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- This might allow me to escape [[EK]]'s markov modeling approach for phase transitions.
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## Phase completion: Joint Probability Estimation (single paper?)
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@ -33,7 +38,8 @@ trying to separate out probability of scientific vs market drops.
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This would use the IND or similar data to build the list of phase transitions.
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### Design tradeoffs
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### Design tradeoffs.
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Some design tradeoffs include
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- Normalized or non-normalized transition paths? I'm particularly interested in inclucing mixed-phase paths, i.e. non-normalized paths.
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