May 13, 2020

Final Exam

  • Will be available at 9:30pm.

  • Due by end of day May 17th.

  • You may use your book and course materials.

  • I expect you to complete the exam on your own (i.e. do not discuss with classmates, colleagues, significant others, etc.)

  • There are two parts:

    1. Part one multiple choice questions and short answer questions.
    2. Part two has a small data set to analyze with R, then answer some interpretation questions.

  • Put your answers in the Rmarkdown file and submit the PDF file. Please do not post your answers online!

Presentations

My Work

My statistical research interest is in propensity score methods. Propensity score analysis (PSA) is a quasi-experimental design used to estimate causality from observational studies. It is generally conducted in two phases:

  1. Estimate propensity scores (i.e. probability of being in the treatment) using the observed covariates.

     a. Check balance
 b. Re-estimate propensity scores

  2. Estimate effect sizes using typical group differences (e.g. t-tests)

See my Github repository or Intro to PSA slides.

Areas I have worked on:

  • Multilevel PSA (see multilevelPSA R package)
  • Matching with non-binary treatments (see TriMatch R package)
  • Bootstrapping PSA (see PSAboot R package)

Thank You