Added more images to assets & included in results.

Paper/sections/06_Results.tex

@@ -16,7 +16,7 @@ Most trials lasted less than 1,500 days, as can be seen in
 \ref{fig:trial_durations}. 
 Although there are a large number of snapshots that will be used to fit the 
 model, the number of trials -- the unit of observation -- are quite low. 
-Add to the  fact that these are spread over multiple IDC-10 categories
+Add to the  fact that these are spread over multiple ICD-10 categories
 and the overall quantity of trials is quite low. 
 
 To continue, we can use a scatterplot to get a rough idea of the observed
@@ -26,21 +26,21 @@ the correlation (measured at $0.34$) is apparent.
 
 
 \begin{figure}[H]
-    \includegraphics[width=\textwidth]{../assets/img/current/pred_dist_diff-delay}
+    \includegraphics[width=\textwidth]{../assets/img/HistTrialDurations_Faceted}
     \todo{Replace this graphic with the histogram of trial durations}
     \caption{Histograms of Trial Durations}
     \label{fig:trial_durations}
 \end{figure}
 
 \begin{figure}[H]
-    \includegraphics[width=\textwidth]{../assets/img/current/pred_dist_diff-delay}
+    \includegraphics[width=\textwidth]{../assets/img/HistSnapshots}
     \todo{Replace this graphic with the histogram of snapshots}
     \caption{Histogram of the count of Snapshots}
     \label{fig:snapshot_counts}
 \end{figure}
 
 \begin{figure}[H]
-    \includegraphics[width=\textwidth]{../assets/img/current/pred_dist_diff-delay}
+    \includegraphics[width=\textwidth]{../assets/img/SnapshotsVsDurationVsTermination}
     \todo{Replace this graphic with the scatterplot comparing durations and snapshots}
     \caption{Scatterplot comparing the Count of Snapshots and Trial Duration}
     \label{fig:snapshot_counts}
@@ -63,15 +63,14 @@ Estimated Baysian Fraction of Missing Information (E-BFMI) ,
 suggesting that there are some parts of the posterior distribution
 that were not explored well during the model fitting. 
 I presume this is due to the low number of trials in some of the 
-IDC-10 categories.
+ICD-10 categories.
 We can see in Figure \ref{fig:barchart_idc_categories} that some of these 
 disease categories had a single trial represented while others were 
 not represented at all.
 
 \begin{figure}[H]
-    \includegraphics[width=\textwidth]{../assets/img/current/pred_dist_diff-delay}
+    \includegraphics[width=\textwidth]{../assets/img/CategoryCounts}
-    \todo{Replace this graphic with the barchart of trials by categories.}
+    \caption{Bar chart of trials by ICD-10 categories}
-    \caption{Bar chart of trials by IDC-10 categories}
     \label{fig:barchart_idc_categories}
 \end{figure}
 
@@ -86,7 +85,7 @@ keeping enrollment open.
 
 
 \begin{figure}[H]
-    \includegraphics[width=\textwidth]{../assets/img/current/pred_dist_diff-delay}
+    \includegraphics[width=\textwidth]{../assets/img/DirectEffects/p_delay_intervention_distdiff_boxplot}
     \todo{Replace this graphic with the histdiff with boxplot}
     \small{
         Values near 1 indicate a near perfect increase in the probability 
@@ -98,7 +97,7 @@ keeping enrollment open.
         from unlikely to terminate under control, to highly likely to 
         terminate.
     }
-    \caption{Distribution of Predicted Differences}
+    \caption{Histogram of the Distribution of Predicted Differences}
     \label{fig:pred_dist_diff_delay}
 \end{figure}
 
@@ -142,7 +141,7 @@ issues with participant enrollment.
 If this is the case, we should be able to isolate categories that contribute
 the most to this effect.
 Another is that this might be a modelling artefact, due to the relatively
-low number of trials in certain IDC-10 categories. 
+low number of trials in certain ICD-10 categories. 
 In short, there might be high levels of uncertanty in some parameter values,
 which manifest as fat tails in the distributions of the $\beta$ parameters. 
 Because of the logistic format of the model, these fat tails lead to 
@@ -203,7 +202,7 @@ many, if not all, of the disease categories.
 Figure \ref{fig:pred_dist_dif_delay2} shows how this overall
 result comes from different disease categories.
 \begin{figure}[H]
-    \includegraphics[width=\textwidth]{../assets/img/current/pred_dist_diff-delay-group}
+    \includegraphics[width=\textwidth]{../assets/img/DirectEffects/p_delay_intervention_distdiff_by_group}
     \caption{Distribution of Predicted differences by Disease Group}
     \label{fig:pred_dist_dif_delay2}
 \end{figure}