Megha Joshi

Meta-Analysis Data Scientist

Analyst Institute



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


  • PhD in Quantitative Methods, 2021

    The University of Texas at Austin

  • BA in Art History and Psychology, 2014

    Bryn Mawr College

Recent Posts

ERCOT Price Gouging

Welcome to the Deregulated State of Texas! During the crisis brought on by government failure and capitalism last week in Texas that …

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, …



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