summary.CMatch: Summarizing output from MatchW and MatchPW functions

In CMatching: Matching Algorithms for Causal Inference with Clustered Data

Summarizing output from MatchW and MatchPW functions

Description

Summary method for MatchW and MatchPW

Usage

## S3 method for class 'CMatch'
summary(object, ..., full = FALSE, digits = 5)

Arguments

object	An object of class "CMatch".
...	Other options for the generic summary function.
full	A flag for whether the unadjusted estimates and naive standard errors should also be summarized.
digits	The number of significant digits that should be displayed.

Details

If Group contains only one value the output is the same of the summary method of package Matching. Otherwise the output shows also the distribution of treated, control and possibly drop units, by group.

Value

A list giving a summary of the output from a "CMatch" object. The list includes the size of the original and the matched dataset, the number of treated and control observations in each group and the estimate (if Y is not NULL).

Note

Naive standard errors are not available when there is more than one group so the full parameter is ineffective in that case.

Author(s)

Massimo Cannas <[e-mail]>

References

Sekhon, Jasjeet S. 2011. Multivariate and Propensity Score Matching Software with Automated Balance Optimization. Journal of Statistical Software 42(7): 1-52. http://www.jstatsoft.org/v42/i07/

Arpino, B., and Cannas, M. (2016) Propensity score matching with clustered data. An application to the estimation of the impact of caesarean section on the Apgar score. Statistics in Medicine, 35: 2074–2091. doi: 10.1002/sim.6880.

See Also

See also CMatch, CMatchBalance

CMatching documentation built on April 12, 2025, 2:04 a.m.