Lasso adjustments of treatment effect estimates in randomized experiments

We provide a principled way for investigators to analyze randomized experiments when the number of covariates is large. Investigators often use linear multivariate regression to analyze randomized experiments instead of simply reporting the difference of means between treatment and control groups. T...

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Bibliografiske detaljer
Udgivet i:Proc Natl Acad Sci U S A
Main Authors: Bloniarz, Adam, Liu, Hanzhong, Zhang, Cun-Hui, Sekhon, Jasjeet S., Yu, Bin
Format: Artigo
Sprog:Inglês
Udgivet: National Academy of Sciences 2016
Fag:
Sackler Colloquium on Drawing Causal Inference from Big Data
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4941428/
https://ncbi.nlm.nih.gov/pubmed/27382153
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510506113
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