\documentclass[../Main.tex]{subfiles}
\graphicspath{{\subfix{Assets/img/}}}

\begin{document}

The identification strategy centers on the fact that, in the U.S., clinical trials
update the publically available information on \url{ClinicalTrials.gov}, which are available
as historical snapshots through the website.
These updates typically include information such as additional sites conducting the study, 
the study status, and expected or current enrollment figures. 
By measuring enrollment and other factors prior to the conclusion of a trial, we 
can measure the effect of enrollment on trial conclusion 
(specifically whether it is registered as completed or terminated).
In particular, this avoids measuring the joint determination of enrollment and conclusion
status arising from trials terminated early.
Figure \cref{Fig:CausalModel} describes the structural causal model used to justify
our identification claims.

\begin{figure}[H] %use [H] to fix the figure here.
    \tikzfig{../assets/tikzit/CausalGraph}
    \caption{Causal Model}
    \label{Fig:CausalModel}
\end{figure}

%Describe the observed and unobserved events and their supposed relationships.
%Describe what causal effects are identified by the backdoor criterion.

\end{document}
