neyman {Matchit} | R Documentation |
Calculates basic estimate of treatment effect, using simple difference in means and Neyman's estimate of the variance.
neyman <- neyman(Y, object, bootstrap=NULL, counter=TRUE)
Y |
(required). Outcome variable of interest, included in data from
matchit object. |
object |
(required). Stored output from matchit . |
bootstrap |
Use the bootstrap to estimate standard errors (default=FALSE). Often used when matching done with replacement. |
counter |
Counter indicating progress of the bootstrap (default=TRUE, which shows the counter). |
Calculates overall treatment effect estimate using matched samples generated by
matchit
. If subclasses were generated in the matching procedure, the estimate is a
weighted average over the subclasses, with subclass weights defined by the sub.by
option
in the matchit
call. The standard deviation can also be estimated using the bootstrap
procedure, which is often used when matching done with replacement. For more details on the
calculations, see the complete documentation (link below). The summary
command on a
neyman
object will provide a test of significance of the outcome as well as sample sizes
of the matched treated and control groups, and subclass estimates if applicable.
Returns estimate of the effect of the treatment, as well as the standard deviation
of that estimate. |
Daniel Ho <deho@fas.harvard.edu>; Kosuke Imai <kimai@princeton.edu>; Gary King <king@harvard.edu>; Elizabeth Stuart<stuart@stat.harvard.edu>
Please use help.matchit
to access the matchit reference
manual. The complete document is available online at
http://gking.harvard.edu/matchit.