The validity of propensity score analysis using complete cases with partially observed covariates

Byeong Yeob Choi; Jonathan Gelfond

doi:10.1007/s10654-019-00538-x

The validity of propensity score analysis using complete cases with partially observed covariates

Byeong Yeob Choi, Jonathan Gelfond

Department of Population Health Sciences

Producción científica: Letter › revisión exhaustiva

2 Citas (Scopus)

Idioma original	English (US)
Páginas (desde-hasta)	87-88
Número de páginas	2
Publicación	European Journal of Epidemiology
Volumen	35
N.º	1
DOI	https://doi.org/10.1007/s10654-019-00538-x
Estado	Published - ene 1 2020

ASJC Scopus subject areas

Epidemiology

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10.1007/s10654-019-00538-x

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title = "The validity of propensity score analysis using complete cases with partially observed covariates",

keywords = "Complete case analysis, Homogeneous treatment effect, Missing data, Multiple imputation, Propensity score",

author = "Choi, {Byeong Yeob} and Jonathan Gelfond",

note = "Funding Information: This research was supported in part by the National Cancer Institute for the Mays Cancer Center (P30CA054174) at the UT Health Science Center at San Antonio. ",

year = "2020",

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doi = "10.1007/s10654-019-00538-x",

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T1 - The validity of propensity score analysis using complete cases with partially observed covariates

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AU - Gelfond, Jonathan

N1 - Funding Information: This research was supported in part by the National Cancer Institute for the Mays Cancer Center (P30CA054174) at the UT Health Science Center at San Antonio.

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KW - Homogeneous treatment effect

KW - Missing data

KW - Multiple imputation

KW - Propensity score

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