From 4402780a448973f938132aaf14be39da4b882ed2 Mon Sep 17 00:00:00 2001
From: youainti <youainti@protonmail.com>
Date: Wed, 7 Sep 2022 15:05:32 -0700
Subject: [PATCH] Committing for accesibility in other locations.

---
 Latex/Paper/Main.tex                            |  2 ++
 .../Paper/sections/03_CausalIdentification.tex  | 17 ++++++++++++++++-
 2 files changed, 18 insertions(+), 1 deletion(-)

diff --git a/Latex/Paper/Main.tex b/Latex/Paper/Main.tex
index 6a1db0b..51960bd 100644
--- a/Latex/Paper/Main.tex
+++ b/Latex/Paper/Main.tex
@@ -11,6 +11,8 @@
 \input{../assets/preambles/BibPreamble}
 \input{../assets/preambles/GeneralPreamble}
 
+\usepackage{float}
+
 \title{Title Goes Here \\ \small{subtitle goes here}}
 \author{William King}
 
diff --git a/Latex/Paper/sections/03_CausalIdentification.tex b/Latex/Paper/sections/03_CausalIdentification.tex
index 4c0e828..3ca7eb6 100644
--- a/Latex/Paper/sections/03_CausalIdentification.tex
+++ b/Latex/Paper/sections/03_CausalIdentification.tex
@@ -3,11 +3,26 @@
 
 \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]
+\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}