Posts

Individual Participant Data Meta-Analysis: Example with R

Aggregated Data Meta-Analysis and IPDMA Traditional meta-analyses use aggregated or summary level information from studies or reports …

What Should I Use to Quantify Heterogeneity in Meta-Analysis?

Meta-analysis Scientific researchers tend to produce literature on the same topic either to replicate or extend prior studies or due to …

What is a Confidence Interval?

library(tidyverse) library(knitr) Distributions There are three kinds of distributions: Population Distribution There are around 15 …

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 …

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 …

Continuous Treatment in Propensity Score Analysis

In my qualifying exam, in the written part, I was asked about how to analyze the effect of continuous, not binary, treatment using …