May 16, 2018

Announcements

Final Exam

  • Will be available later tonight.

  • Due by end of day May 21st.

  • You may use your book and course materials.

  • There are two parts:
    1. Part one has some conceptual questions.
    2. Part two has a small data set to analyze with R, then answer some interpretation questions.

Presentations

  • Krishna Rajan (7.23)
  • Santosh Manjrekar (7.35)

My Work

My 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.
    1. Check balance
    2. Re-estimate propensity scores
  2. Estimate effect sizes using typical group differences (e.g. t-tests)

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