Megha Joshi

Doctoral candidate

The University of Texas at Austin



  • Causal inference
  • Meta-analysis
  • Missing data
  • Machine learning
  • Robust variance-covariance matrices


  • PhD in Quantitative Methods, 2021 (expected)

    The University of Texas at Austin

  • BA in Art History and Psychology, 2014

    Bryn Mawr College

Recent Posts

Meta-Analysis Resources

R Packages metafor RVE small sample corrections robumeta clubSandwich wildmeta Publication Bias PublicationBias Forest plots …

Unemployment Claims COVID-19

In this post I am visualizing and analyzing the unprecedented increase in the number of unemployment claims filed in the US after the …

Propensity Score Analysis with Multiply Imputed Data

In this post, I walk through steps of running propensity score analysis when there is missingness in the covariate data. Particularly, …

Missing Data in Propensity Score Analysis

Theories behind propensity score analysis assume that the covariates are fully observed (Rosenbaum & Rubin, 1983, 1984). However, …

Nepal Earthquake

I wanted to analyze the data from the April 2015 Nepal earthquake that resulted in around 10,000 deaths. I am using a dataset that I …



Here is the website for the package. Monte Carlo simulations are computer experiments designed to study the performance of statistical …


Technical papers detailing the results of analysis: the first-year cohort analysis and the-second year cohort analysis. Texas House …

Recent Publications