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@ -244,21 +244,35 @@ A quick summary of the nodes of the DAG and their impact:
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$\rightarrow$
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\texttt{Enrollment Status}:
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This confounds the estimation of the effect of
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\texttt{Enrollment} on \texttt{Will Terminate?}, and
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so \texttt{Market Measures} is part of the adjustment set.
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\item
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\texttt{Market Measures}
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$\rightarrow$
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\texttt{Decision to proceed with Phase III}:
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The alternative treatments on the market will affect a sponsors'
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decision to move forward with a Phase III trial.
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This is controlled for by only working with trials that
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successfully begin recruitment for a Phase III Trial.
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\item
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\texttt{Elapsed Duration}
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$\rightarrow$
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\texttt{Will Terminate?}:
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The amount of time past helps drive the decision to continue
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or terminate.
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\item
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\texttt{Enrollment Status}
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$\leftrightarrow$
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\texttt{Elapsed Duration}:
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% This is jointly determined. and the weakest part of the causal identification without an accurate model of enrollment.
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This is one of the weakest parts of the causal inference.
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Without a well defined model of enrollment, we can't separate
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the interaction between the enrollment status and the elapsed
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duration.
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For example, if enrollment is running slower than expected,
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the trial may be terminated due to concerns that it will not
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achive the primary objectives or that costs will exceed
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the budget allocated to the project.
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\item
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\texttt{Decision to Proceed with Phase III}
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$\rightarrow$
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