Chapter 4 References
Allaire, JJ, Joe Cheng, Yihui Xie, Jonathan McPherson, Winston Chang, Jeff Allen, Hadley Wickham, Aron Atkins, and Rob Hyndman. 2016. Rmarkdown: Dynamic Documents for R. http://rmarkdown.rstudio.com.
Austin, Peter C. 2011. “An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.” Multivariate Behavioral Research 46 (3). Taylor & Francis: 399–424.
Canty, Angelo, and Brian Ripley. 2016. Boot: Bootstrap Functions (Originally by Angelo Canty for S). https://CRAN.R-project.org/package=boot.
dAgostino, Ralph B. 1998. “Tutorial in Biostatistics: Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non-Randomized Control Group.” Stat Med 17 (19): 2265–81.
Davidian, Marie. 2005. Simulation Studies in Statistics. http://www4.stat.ncsu.edu/~davidian/st810a/simulation_handout.pdf.
Efron, Bradley, and Robert J Tibshirani. 1994. An Introduction to the Bootstrap. CRC press.
Friedman, Jerome, Trevor Hastie, Noah Simon, and Rob Tibshirani. 2016. Glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models. https://CRAN.R-project.org/package=glmnet.
Hallgren, Kevin A. 2013. “Conducting Simulation Studies in the R Programming Environment.” Tutorials in Quantitative Methods for Psychology 9 (2). NIH Public Access: 43.
Hastie, Tibshirani, and Friedman. 2009. The Elements of Statistical Learning (2nd Edition). Vol. 2. Cambridge university press. http://statweb.stanford.edu/~tibs/ElemStatLearn/.
Joseph, Lawrence. 2010. Principles of Inferential Statistics in Medicine. http://www.medicine.mcgill.ca/epidemiology/Joseph/courses/EPIB-607/notes.pdf.
Maindonald, John H., and W. John Braun. 2015. DAAG: Data Analysis and Graphics Data and Functions. https://CRAN.R-project.org/package=DAAG.
Rosenbaum, Paul R, and Donald B Rubin. 1983. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika 70 (1). Biometrika Trust: 41–55.
Stephens, David A. 2015. “MATH 680 - Computation Intensive Statistics Course Notes.” Notes. McGill University. http://www.math.mcgill.ca/dstephens/.
Sveidqvist, Knut, Mike Bostock, Chris Pettitt, Mike Daines, Andrei Kashcha, and Richard Iannone. 2016. DiagrammeR: Create Graph Diagrams and Flowcharts Using R. https://CRAN.R-project.org/package=DiagrammeR.
Tibshirani, Robert. 1996. “Regression Shrinkage and Selection via the Lasso.” Journal of the Royal Statistical Society. Series B (Methodological). JSTOR, 267–88.
Wang, Yishu, Orla Murphy, Maxime Turgeon, ZhuoYu Wang, Sahir R Bhatnagar, Juliana Schulz, and Erica EM Moodie. 2015. “The Perils of Quasi-Likelihood Information Criteria.” Stat 4 (1). Wiley Online Library: 246–54.