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@ -24,10 +24,10 @@ Attempt to build a "cannonical" probabalistic model of the clinical trials proce
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- Documentation of code exists, and is useful.
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# Models
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The general benefit I can provide is to:
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A couple of general principles.
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- Describe the model in terms of conditional probability distributions (not expectations).
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- Model based on information known at the beginning of the trial.
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- Model based on information known at the beginning of the trial. (benefit of the [data] in use)
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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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