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29 lines
1.2 KiB
TeX
29 lines
1.2 KiB
TeX
\documentclass[../Main.tex]{subfiles}
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\graphicspath{{\subfix{Assets/img/}}}
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\begin{document}
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The identification strategy centers on the fact that, in the U.S., clinical trials
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update the publically available information on \url{ClinicalTrials.gov}, which are available
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as historical snapshots through the website.
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These updates typically include information such as additional sites conducting the study,
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the study status, and expected or current enrollment figures.
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By measuring enrollment and other factors prior to the conclusion of a trial, we
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can measure the effect of enrollment on trial conclusion
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(specifically whether it is registered as completed or terminated).
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In particular, this avoids measuring the joint determination of enrollment and conclusion
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status arising from trials terminated early.
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Figure \cref{Fig:CausalModel} describes the structural causal model used to justify
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our identification claims.
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\begin{figure}[H] %use [H] to fix the figure here.
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\tikzfig{../assets/tikzit/CausalGraph}
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\caption{Causal Model}
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\label{Fig:CausalModel}
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\end{figure}
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%Describe the observed and unobserved events and their supposed relationships.
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%Describe what causal effects are identified by the backdoor criterion.
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\end{document}
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