fix bibtex error for PDF build

02-roadmap.Rmd

@@ -2,14 +2,15 @@
 
 ## Learning Objectives {-}
 
-By the end of this chapter you will be able to
+In this chapter, we provide guidance on how to
 
 1. Translate scientific questions to statistical questions.
 2. Define a statistical model based on the knowledge of the experiment that
    generated the data.
 3. Identify a causal parameter as a function of the observed data distribution.
 4. Explain the following causal and statistical assumptions and their
-   implications: i.i.d., consistency, interference, positivity, SUTVA.
+   implications: i.i.d., consistency, interference, positivity, the stable unit
+   treatment value assumption.
 
 ## Introduction {-}
 

book.bib

@@ -306,7 +306,7 @@ @article{wolpert1992stacked
 }
 
 @article{naturenews_2015,
-  author = {Anonymous Editorial in \textit{Nature}}},
+  author = {{\textit{Nature} Editorial (Anonymous)}},
   title={Let’s think about cognitive bias},
   journal={Nature},
   publisher={Springer Nature},
@@ -343,7 +343,7 @@ @article{munafo2017manifesto
 }
 
 @article{naturenews2_2015,
-  author = {Nature Editorial},
+  author = {{\textit{Nature} Editorial (Anonymous)}},
   title={How scientists fool themselves --- and how they can stop},
   journal={Nature},
   publisher={Springer Nature},
@@ -375,7 +375,7 @@ @article{nosek2018preregistration
   number={11},
   pages={2600--2606},
   year={2018},
-  publisher={National Acad Sciences}
+  publisher={National Academy of Sciences}
 }
 
 @article{baker2016there,
@@ -395,7 +395,7 @@ @article{szucs2017null
   title={When null hypothesis significance testing is unsuitable for research:
     a reassessment},
   author={Szucs, Denes and Ioannidis, John},
-  journal={Frontiers in human neuroscience},
+  journal={Frontiers in Human Neuroscience},
   volume={11},
   pages={390},
   year={2017},
@@ -471,18 +471,17 @@ @article{neyman1990
 }
 
 @article{robins1986,
-title = "A new approach to causal inference in mortality studies with a
-  sustained exposure period—application to control of the healthy worker
-  survivor effect",
-journal = "Mathematical Modelling",
-volume = "7",
-number = "9",
-pages = "1393 - 1512",
-year = "1986",
-issn = "0270-0255",
-doi = "https://doi.org/10.1016/0270-0255(86)90088-6",
-url = "http://www.sciencedirect.com/science/article/pii/0270025586900886",
-author = "James Robins"
+  title = "A new approach to causal inference in mortality studies with a
+    sustained exposure period—application to control of the healthy worker
+    survivor effect",
+  journal = "Mathematical Modelling",
+  volume = "7",
+  number = "9",
+  pages = "1393 - 1512",
+  year = "1986",
+  issn = "0270-0255",
+  doi = "https://doi.org/10.1016/0270-0255(86)90088-6",
+  author = "James Robins"
 }
 
 @book{pearl2009,
@@ -506,35 +505,31 @@ @book{moodie2013
 }
 
 @article{laber2012,
-author = {Zhang, Baqun and A Tsiatis, Anastasios and Davidian, Marie and
-  Zhang, Min and Laber, Eric},
-title = {Estimating optimal treatment regimes from a classification
-  perspective},
-journal = {Stat},
-volume = {5},
-number = {1},
-pages = {278-278},
-doi = {10.1002/sta4.124},
-url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.124},
-eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.124},
-year = {2016}
+  author = {Zhang, Baqun and A Tsiatis, Anastasios and Davidian, Marie and
+    Zhang, Min and Laber, Eric},
+  title = {Estimating optimal treatment regimes from a classification
+    perspective},
+  journal = {Stat},
+  volume = {5},
+  number = {1},
+  pages = {278-278},
+  doi = {10.1002/sta4.124},
+  year = {2016}
 }
 
 @article{kosorok2012,
-author = {Yingqi Zhao and Donglin Zeng and A John Rush and Michael R
-  Kosorok},
-title = {Estimating Individualized Treatment Rules Using Outcome Weighted
-  Learning},
-journal = {Journal of the American Statistical Association},
-volume = {107},
-number = {499},
-pages = {1106-1118},
-year  = {2012},
-publisher = {Taylor & Francis},
-doi = {10.1080/01621459.2012.695674},
-note ={PMID: 23630406},
-URL = {https://doi.org/10.1080/01621459.2012.695674},
-eprint = {https://doi.org/10.1080/01621459.2012.695674}
+  author = {Yingqi Zhao and Donglin Zeng and A John Rush and Michael R
+    Kosorok},
+  title = {Estimating Individualized Treatment Rules Using Outcome Weighted
+    Learning},
+  journal = {Journal of the American Statistical Association},
+  volume = {107},
+  number = {499},
+  pages = {1106-1118},
+  year  = {2012},
+  publisher = {Taylor \& Francis},
+  doi = {10.1080/01621459.2012.695674},
+  note ={PMID: 23630406}
 }
 
 @article{robins2014,
@@ -928,7 +923,7 @@ @article{chernozhukov2018double
   url = {https://doi.org/10.1111/ectj.12097}
 }
 
-@manual{R,
+@misc{R,
   address = {Vienna, Austria},
   author = {{R Core Team}},
   organization = {R Foundation for Statistical Computing},

latex_extras/preamble.tex

@@ -2,7 +2,7 @@
 \usepackage[inline]{enumitem}
 \usepackage{float}
 \usepackage{graphicx}
-\usepackage[round]{natbib}
+%\usepackage[round]{natbib}
 \usepackage{geometry}
 \usepackage{tikz}
 \usepackage[english]{babel}

packages.bib

@@ -82,3 +82,4 @@ @Book{rmarkdown2020
   note = {ISBN 9780367563837},
   url = {https://bookdown.org/yihui/rmarkdown-cookbook},
 }
+