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43 lines
1.8 KiB
Plaintext
43 lines
1.8 KiB
Plaintext
How do I begin work on stuff
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- next step is causal story. key points include
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- we are trying to separate strategic and operational concerns. (why is this a difficult problem?)
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- we can't trust what we are told
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- terminations could be due to safety, strategic, or operational concerns.
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- explaining confounding between
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- population/market and enrollment.
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-population/market and market conditions.
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- market conditions and enrollment.
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- describe other confounders
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- safety and effectiveness
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- duration <--> enrollment/termination
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- Condition
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- Decision to procede with Phase III trial
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- How do I handle this?
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- Introduce Do-Calculus
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- DAG model
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- What do I need to control for, in some form or other?
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CURRENTLY HERE:
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- Introduce Data
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- Clinical Trial Progression
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- AACT gives us information on
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- terminated/completed status
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- compound-indication pairs
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- MeSH/RxNorm links
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- Snapshots
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- Market Conditions
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- can't directly measure alternate treatments/standards of care.
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- Can get measures of USP - formulary alternatives
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- Can get number of generics or brand names with same drug.
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- Population Sizes
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- IHME Global Burden of Disease dataset. Best measure of impact of a given disease category.
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- DALY's
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- How much data do I have?
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- Econometric model
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- for a given state, what is the probability it will terminate?
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- more accurately for my dist-diff analysis: for a given state, what is the distribution of the probabilities it will terminate?
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- basic bernoulli-logistic model, linear in parameters.
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- What are the specific things I am looking at?
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- number of competing treatments.
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- delaying close of enrollment.
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