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logistic regression (2)
matching (3)
multiple-imputation (1)
propensity-scores (5)
R (4)
subgroup analysis (1)

Blog

An Odds Ratio Paradox

logistic regression
A patient comes into urgent care presenting with an unpleasant rash on his arm.
August 3, 2024

What’s New in WeightIt Version 1.0.0

R
propensity-scores
My R package WeightIt has a huge new update, making it one of the biggest updates since I started the project. Version 1.0.0 introduces a few breaking changes, including the…
March 21, 2024

Musings on Logistic Regression, CBPS, and Overlap Weights

logistic regression
propensity-scores
As I’ve been studying M-estimation and the covariate balancing propensity score (CBPS) (Imai and Ratkovic 2014), I’ve been noticing some interesting connections between…
March 12, 2024

Matching Weights are Propensity Score Weights

matching
propensity-scores
I’m often asked how the matching weights produced by MatchIt are computed. The weights are necessary for estimating the treatment effect in the matched sample; indeed, the…
May 30, 2023

Estimating Treatment Effects After Weighting with Multiply Imputed Data

propensity-scores
R
multiple-imputation
Multiply imputed data always makes things a little harder. Essentially, you have to perform each step of the analysis in each imputed dataset and then combine the results…
February 10, 2023

Genetic Matching, from the Ground Up

matching
R
Genetic matching sounds cool and science-y, something we social scientists love because nobody thinks what we do is “real” science. And genetic matching is cool and…
October 8, 2022

Subgroup Analysis After Propensity Score Matching Using R

matching
propensity-scores
R
subgroup analysis
Today I’m going to demonstrate performing a subgroup analysis after propensity score matching using R. Subgroup analysis, also known as moderation analysis or the analysis…
September 5, 2022
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