diff --git a/inst/WORDLIST b/inst/WORDLIST
index 63cc262..a6fd402 100644
--- a/inst/WORDLIST
+++ b/inst/WORDLIST
@@ -5,9 +5,11 @@ ATO
 ATT
 Athanasopoulos
 CMD
+D'Agostino
 DD’
 Dyn
 DynamicForecast
+D’Agostino
 EDA
 EFA
 Ensembled
diff --git a/man/treatment_model.Rd b/man/treatment_model.Rd
index 09cd97a..8d068ed 100644
--- a/man/treatment_model.Rd
+++ b/man/treatment_model.Rd
@@ -29,11 +29,13 @@ A list with the following components:
 }
 \description{
 Observational study involves the evaluation of outcomes of participants not randomly assigned treatments or exposures. To be able to assess the effects of the outcome, the participants are matched using propensity scores (PSM). This then enables the determination of the effects of the treatments on those treated against those who were not treated. Most of the earlier functions available for this analysis only enables the determination of the average treatments effects on the treated (ATT) while the other treatment effects are optional. This is where this functions is unique because five different average treatment effects are estimated simultaneously, in spite of the \strong{one line code arguments}. The five treatment effects are:
-i. Average treatment effect  for the entire (ATE)  population
-ii. Average treatment effect  for the treated (ATT)  population
-iii. Average treatment effect  for the controlled (ATC)  population
-iv. Average treatment effect  for the evenly matched (ATM)  population
-v. Average treatment effect  for the overlap (ATO) population.
+\enumerate{
+\item Average treatment effect  for the entire (ATE)  population
+\item Average treatment effect  for the treated (ATT)  population
+\item Average treatment effect  for the controlled (ATC)  population
+\item Average treatment effect  for the evenly matched (ATM)  population
+\item Average treatment effect  for the overlap (ATO) population.
+}
 
 There excellent materials dealing with each of the treatment effects, please \href{https://livefreeordichotomize.com/posts/2019-01-17-understanding-propensity-score-weighting/}{see}
 }