Add 'Concept paper 2022-02-09'

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Will King 4 years ago
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# Goals
I think I can get two, maybe three, papers out of this:
- Estimate the joint probability of success and Plan Normalized duration.
- Estimate a model similar to EK's model of market vs scientific failure.
- Develop a structural model that includes a policy parameter relevant to a policy the CBO cares about (Not a high priority yet).
## Questions:
- How can one statistically describe the way drugs pass through the FDA development pipeline?
- What is the effect of `policy` on phase completion and phase transition?
# Models
## Phase completion: Joint Probability Estimation (single paper?)
Can probably use the data we have.
This would include Plan Normalized duration, where we take the planned completion date and
estimate the term: (Actual completion date - start date)/(Planned completion date - start date)
By estimating P(end condition | data) and P(Plan normalized duration | end condition & data) I can get
P(end condition and Plan normalized duration | data), the more useful joint probability describing phase completion.
## Phase Transition: Probability Estimation (single paper?)
Once I have the joint probability, I can begin estimateing a model similar to Ekaterina Khmelnitskaya's model of drug development,
trying to separate out probability of scientific vs market drops.
This would use the IND or similar data to build the list of phase transitions.
### Design tradeoffs
Some design tradeoffs include
- Normalized or non-normalized transition paths? I'm particularly interested in inclucing mixed-phase paths.
## Overall Model
Overall this would allow me to construct a probabalistic description of passing through the d
# Estimation Strategy
Probably use a non-parametric bayesian approach to estimating the probability densities.
## Identification Strategy
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