pscore treatment varlist [weight] [if exp] [in range] , pscore(newvar) [block

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   我在学习“propensity score matching"，倾向值匹配的使用，请教：

pscore treatment varlist [weight] [if exp] [in range] , pscore(newvar)[blockid(newvar) detail logit comsup level(#) numblo(#) ]各语段的含义是什么？如何应用？

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关键词：treatment varlist Weight score treat matching 如何

pscore(newvar) is required and asks users to specify the variable name for the
estimated propensity score, which is added to the dataset.
blockid(newvar) allows users to specify the variable name for the block number
of the estimated propensity score, which is added to the dataset.
logit uses a logit model to estimate the propensity score instead of the
default probit model
comsup restricts the analysis of the balancing property to all treated plus
those controls in the region of common support. A dummy variable named
comsup is added to the dataset to identify the observations in the common
support.
level(real) allows to set the significance level of the tests of the balancing
property. The default is 0.01.
numblo(real) allows to set the number of blocks of equal score range to be
used at the beginning of the test of the balancing hypothesis