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Replication code for "Estimating population average treatment effects from experiments with noncompliance"
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README.md

README.md

patt-c

This repository provides data and code for reproducing "Estimating population average treatment effects from experiments with noncompliance".

Please cite the paper if you use this code for academic research:

@ARTICLE{2019arXiv190102991O,
       author = {{Ottoboni}, Kellie and {Poulos}, Jason},
        title = "{Estimating population average treatment effects from experiments with noncompliance}",
      journal = {arXiv e-prints},
     keywords = {Statistics - Methodology, Economics - Econometrics, Statistics - Applications},
         year = "2019",
        month = "Jan",
          eid = {arXiv:1901.02991},
        pages = {arXiv:1901.02991},
archivePrefix = {arXiv},
       eprint = {1901.02991},
 primaryClass = {stat.ME},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019arXiv190102991O},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Description of scripts in code/

  • package-list.R install required packages
  • main.R main run list
    • main.sh shell script for main.R
  • simulation.R runs simulations and produces results/simulation_res.Rdata
  • simulation-plots.R loads results/simulation_res.Rdata and saves to plots/
  • prepare-ohie.R merges OHIE data and saves to data/prepare-ohie.Rdata prepare-NHIS.R merges NHIS data and saves to data/prepare-NHIS.Rdata
  • prepare-analysis.R imports NHIS and OHIE datasets and creates outcome vectors and common covariates for the analysis; saves to data/prepare-analysis.Rdata
  • analysis.R produces empirical estimates; change run.model to TRUE to train complier and response models; saves to data/analysis.Rdata
    • SuperLearner.R Super learner helper functions
    • complier-mod.R Fit complier model if run.model is TRUE
    • complier-mod-cv.R Cross-validate accuracy of complier model if run.model is TRUE
    • response-mod.R Fit response models if run.model is TRUE
    • wtc.R function for weighted t-test with cluster-bootstrapped SEs
  • rct-nrt-compare.R produce estimates for Tables A1 and A2
  • estimator-compare-plots.R saves heterogeneous treatment effect estimates to plots/
  • placebo-test.R produce estimates for Table A3

Instructions

  • Clone a copy of the repository to your working directory with the command
$ git clone https://github.com/jvpoulos/patt-c
  • The code uses R version 3.5.2 (2018-12-20). To install this R version on Ubuntu, use the command
$ sudo apt-get install r-base-core=3.5.2-1xenial
  • Download and extract pretrained response models to results/ directory:
  • Open package-list.R in a script editor
    • Verify that all required packages in package-list.Rare installed in your R library
  • Open main.R in a script editor
    • Change the file path specified by repo.directory to your working directory
    • Change patient.simulation to TRUE to run simulation
    • Save your changes to main.R
  • Make shell file main.sh executable from the Linux/Unix command line:
$ chmod +x main.sh
  • Execute the file:
$ ./main.sh > main.txt
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