@article{Wimberley:241325,
      recid = {241325},
      author = {Wimberley, Theresa and Parner, Erik and Stovring, Henrik},
      title = {Stata as a numerical tool for scientific thought  experiments: A tutorial with worked examples},
      journal = {Stata Journal},
      address = {2013},
      number = {199-2016-2829},
      pages = {20},
      year = {2013},
      abstract = {Thought experiments based on simulation can be used to  explain the impact of the chosen study design, statistical  analysis strategy, or the sensitivity of results to fellow  researchers. In this article, we demonstrate with two  examples how to implement quantitative thought experiments  in Stata. The first example uses a large-sample approach to  study the impact on the estimated effect size of  dichotomizing an exposure variable at different values. The  second example uses simulations of datasets of realistic  size to illustrate the necessity of using sampling  fractions as inverse probability weights in statistical  analysis for protection against bias in a complex sampling  design. We also give a brief outline of the general steps  needed for implementing quantitative thought experiments in  Stata. We demonstrate how Stata provides programming  facilities for conveniently implementing such thought  experiments, with the advantage of saving researchers time,  speculation, and debate as well as improving communication  in interdisciplinary research groups.},
      url = {http://ageconsearch.umn.edu/record/241325},
      doi = {https://doi.org/10.22004/ag.econ.241325},
}