Merge pull request #30 from nhejazi/joss

inst/REFERENCES.bib

@@ -49,6 +49,7 @@ @incollection{diaz2018stochastic
     Longitudinal Studies},
   pages={167--180},
   year={2018},
+  doi={10.1007/978-3-319-65304-4_14},
   publisher={Springer Science \& Business Media}
 }
 
@@ -61,6 +62,7 @@ @article{diaz2012population
   number={2},
   pages={541--549},
   year={2012},
+  doi={10.1111/j.1541-0420.2011.01685.x},
   publisher={Wiley Online Library}
 }
 
@@ -88,6 +90,7 @@ @article{zheng2017longitudinal
   volume={5},
   number={2},
   year={2017},
+  doi={10.1515/jci-2016-0006},
   publisher={De Gruyter}
 }
 
@@ -100,6 +103,7 @@ @article{vanderweele2014effect
   number={2},
   pages={300},
   year={2014},
+  doi={10.1097/ede.0000000000000034},
   publisher={NIH Public Access}
 }
 
@@ -112,6 +116,7 @@ @article{rudolph2017robust
   volume={7},
   number={1},
   year={2017},
+  doi={10.1515/em-2017-0007},
   publisher={De Gruyter}
 }
 
@@ -144,7 +149,8 @@ @article{pfanzagl1985contributions
   volume={3},
   number={3-4},
   pages={379--388},
-  year={1985}
+  year={1985},
+  doi={10.1007/978-1-4612-5769-1}
 }
 
 @incollection{zheng2011cross,
@@ -153,6 +159,7 @@ @incollection{zheng2011cross
   booktitle={Targeted Learning},
   pages={459--474},
   year={2011},
+  doi={10.1007/978-1-4419-9782-1_27},
   publisher={Springer}
 }
 
@@ -170,13 +177,26 @@ @article{chernozhukov2018double
   url = {https://doi.org/10.1111/ectj.12097}
 }
 
+@article{chernozhukov2017double,
+  title={Double/debiased/{Neyman} machine learning of treatment effects},
+  author={Chernozhukov, Victor and Chetverikov, Denis and Demirer, Mert and
+    Duflo, Esther and Hansen, Christian and Newey, Whitney},
+  journal={American Economic Review},
+  volume={107},
+  number={5},
+  pages={261--65},
+  doi={10.1257/aer.p20171038},
+  year={2017}
+}
+
 @article{klaassen1987consistent,
   title={Consistent estimation of the influence function of locally
     asymptotically linear estimators},
   author={Klaassen, Chris AJ},
-  journal={The Annals of Statistics},
+  journal={Annals of Statistics},
   pages={1548--1562},
   year={1987},
+  doi={10.1214/aos/1176350609},
   publisher={JSTOR}
 }
 
@@ -199,6 +219,7 @@ @article{robins1992identifiability
   journal={Epidemiology},
   pages={143--155},
   year={1992},
+  doi={10.1097/00001648-199203000-00013},
   publisher={JSTOR}
 }
 
@@ -259,27 +280,6 @@ @book{bickel1993efficient
   publisher={Johns Hopkins University Press Baltimore}
 }
 
-@incollection{zheng2011cross,
-  title={Cross-validated targeted minimum-loss-based estimation},
-  author={Zheng, Wenjing and {van der Laan}, Mark J},
-  booktitle={Targeted Learning: Causal Inference for Observational and
-    Experimental Data},
-  pages={459--474},
-  year={2011},
-  publisher={Springer}
-}
-
-@article{chernozhukov2017double,
-  title={Double/debiased/neyman machine learning of treatment effects},
-  author={Chernozhukov, Victor and Chetverikov, Denis and Demirer, Mert and
-    Duflo, Esther and Hansen, Christian and Newey, Whitney},
-  journal={American Economic Review},
-  volume={107},
-  number={5},
-  pages={261--65},
-  year={2017}
-}
-
 @manual{R,
   address = {Vienna, Austria},
   author = {{R Core Team}},
@@ -321,6 +321,7 @@ @article{wright1934method
   number={3},
   pages={161--215},
   year={1934},
+  doi={10.1007/978-3-319-59626-6_5},
   publisher={JSTOR}
 }
 
@@ -339,6 +340,7 @@ @book{popper1934logic
   title={The Logic of Scientific Discovery},
   author={Popper, Karl},
   year={1934},
+  doi={10.4324/9780203994627},
   publisher={Routledge}
 }
 
@@ -420,7 +422,9 @@ @article{petersen2006estimation
   author={Petersen, Maya L and Sinisi, Sandra E and {van der Laan}, Mark J},
   journal={Epidemiology},
   pages={276--284},
-  year={2006}
+  year={2006},
+  doi={10.1097/01.ede.0000208475.99429.2d},
+  publisher={JSTOR}
 }
 
 @book{hernan2021causal,

paper/paper.md

@@ -58,7 +58,7 @@ the `tlverse` ecosystem [@vdl2022targeted]), `medoutcon` incorporates
 state-of-the-art non/semi-parametric estimation techniques, facilitating their
 adoption in a vast array of settings.
 
-# Background and Statement of Need
+# Statement of Need
 
 While there is demonstrable interest in causal mediation analysis in a large
 variety of disciplines, thoughtfully implementing data analysis strategies based