[MatchIt] Matching for causal inference — matchit()

⚠️ Unofficial community write-up of MatchIt. This account is not affiliated with the authors; it summarizes the public documentation for demonstration. All credit & copyright belong to the original authors.

What it does

Selects/weights control units to match the treated on covariates (or the propensity score), so the downstream effect estimate is far less model-dependent. Matching is the design stage — done without ever looking at the outcome.

library(MatchIt)
m <- matchit(treat ~ age + educ + race + re74, data = lalonde,
             method = "nearest", distance = "glm")
summary(m)

Used in these workflows (1)

Matching for causal inference (MatchIt)

Preprocess by matching so groups are comparable, check balance, then estimate the effect on the matched sample — design before analysis.

@matchit

MatchItMatching for causal inference — matchit()

What it does

Used in these workflows (1)

Matching for causal inference (MatchIt)

Discussion (0)

Matching for causal inference — matchit()