Rejoinder: Matching Methods for Observational Studies Derived from Large Administrative Databases

Ruoqi Yu; Jeffrey H. Silber; Paul R. Rosenbaum

doi:10.1214/20-STS790

Rejoinder: Matching Methods for Observational Studies Derived from Large Administrative Databases

Ruoqi Yu, Jeffrey H. Silber, Paul R. Rosenbaum

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	371-374
Number of pages	4
Journal	Statistical Science
Volume	35
Issue number	3
DOIs	https://doi.org/10.1214/20-STS790
State	Published - 2020
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
General Mathematics
Statistics, Probability and Uncertainty

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10.1214/20-STS790

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title = "Rejoinder: Matching Methods for Observational Studies Derived from Large Administrative Databases",

author = "Ruoqi Yu and Silber, {Jeffrey H.} and Rosenbaum, {Paul R.}",

year = "2020",

doi = "10.1214/20-STS790",

language = "English (US)",

volume = "35",

pages = "371--374",

journal = "Statistical Science",

issn = "0883-4237",

publisher = "Institute of Mathematical Statistics",

number = "3",

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AU - Silber, Jeffrey H.

AU - Rosenbaum, Paul R.

PY - 2020

Y1 - 2020

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DO - 10.1214/20-STS790

M3 - Article

AN - SCOPUS:85118688239

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SP - 371

EP - 374

JO - Statistical Science

JF - Statistical Science

IS - 3

ER -

Rejoinder: Matching Methods for Observational Studies Derived from Large Administrative Databases

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