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熵平衡

熵平衡( Entropy balancing,EB) is a data preprocessing procedure that allows users to reweight a dataset. The preprocessing is based on a maximum entropy reweighting scheme that assigns weights to each data unit such that the covariate distributions in the reweighted data satisfy a set of moment conditions set by the researcher. This can be useful to balance covariate distributions in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population. The weights that result from entropy balancing can be passed to any standard model to subsequently analyse the reweighted data. 

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ebal is currently available for R and Stata as an alpha version.

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参考资料

[1].  ebal Package   https://web.stanford.edu/~jhain/ebalancepage.html
[2].  ebalance: A Stata Package for Entropy Balancing   https://www.jstatsoft.org/article/view/v054i07
[3].  ebalance: A Stata Package for Entropy Balancing - mit.edu   http://www.mit.edu/~jhainm/Paper/ebalance.pdf
[4].  Software for implementing matching methods and propensity scores   http://www.biostat.jhsph.edu/~estuart/propensityscoresoftware.html

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