Posts – Megha Joshi

Uncertainties in Testing

statistics

test design

ab testing

experimental design

uncertainties

I have been trying to think of ways to explain how even if an estimate of effect from an AB test is statistically significant, that does not mean that the effect itself is…

Individual Participant Data Meta-Analysis: Example with R

meta-analyis

heterogeneity

ipdma

Traditional meta-analyses use aggregated or summary level information from studies or reports (Cooper & Patall, 2009; Riley, Lambert, & Abo-Zaid, 2010). Analysts conducting…

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

meta-analyis

heterogeneity

I squared

tau squared

Michael Borenstein

Scientific researchers tend to produce literature on the same topic either to replicate or extend prior studies or due to a lack of awareness of prior evidence (Hedges &…

What is a Confidence Interval?

statistics

confidence intervals

There are three kinds of distributions:

Propensity Score Analysis with Multiply Imputed Data

propensity score

missing data

causal inference

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

Missing Data in Propensity Score Analysis

propensity score

missing data

causal inference

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

Continuous Treatment in Propensity Score Analysis

propensity score analysis

causal inference

continuous treatment

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