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.
ebal is currently available for R and Stata as an alpha version. 公卫百科
附件列表
词条内容仅供参考,如果您需要解决具体问题
(尤其在法律、医学等领域),建议您咨询相关领域专业人士。