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Megha Joshi

Doctoral candidate

The University of Texas at Austin

Me

Interests

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

Education

  • PhD in Quantitative Methods, 2020 (expected)

    The University of Texas at Austin

  • BA in Art History and Psychology, 2014

    Bryn Mawr College

Recent Posts

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 …
Jun 29, 2020 4 min read R

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, …
Jun 23, 2020 11 min read R

Missing Data in Propensity Score Analysis

Theories behind propensity score analysis assume that the covariates are fully observed (Rosenbaum & Rubin, 1983, 1984). However, …
Apr 16, 2020 11 min read R

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 …
Nov 20, 2019 3 min read R

Tidy Tuesday Horror

Load the Data and Check Duplicates library(tidyverse) library(lubridate) library(kableExtra) library(ggridges) # there were complete …
Oct 21, 2019 4 min read R
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Projects

simhelpers

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

Research Assistants

Recent Publications

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Direct Ties to a Faculty Mentor Related to Positive Outcomes for Undergraduate Researchers

Direct ties to faculty related to better outcomes for undergraduate life-science researchers.
DOI

The Performance of Multivariate Methods for Two-Group Comparisons with Small Samples and Incomplete Data

Missing data treatment using multivariate methods for two-group comparisons and small sample sizes.
DOI

Popular Topics

causal causal inference continuous treatment coronavirus COVID-19 gganimate ggplot leaflet lockdown maximum likelihood mentoring structures missing data Monte Carlo multilevel modeling multiple imputation multivariate analysis Nepal Nepal Earthquake 2015 package propensity score

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