A Monte-Carlo study for propensity score methods

Tao Wang; Takuhiro Yamaguchi; Yasuo Ohashi; Xue shan Feng; Qing wu Jiang

A Monte-Carlo study for propensity score methods

Tao Wang, Takuhiro Yamaguchi, Yasuo Ohashi, Xue shan Feng, Qing wu Jiang

MED - Public Health

Fudan University

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

Abstract

OBJECTIVE: To evaluate the statistical property of the estimators on exposure effect and value of propensity score methods in practical use. METHODS: Simulation data, propensity score methods (PSM) were conducted to assess bias and efficiency, under both with/without model misspecification conditions. RESULTS: Under model misspecification conditions, propensity score methods had better robustness than model based methods. CONCLUSION: For large and complicated data, propensity score methods had more flexibility in practical use than model based methods.

Original language	English
Pages (from-to)	458-462
Number of pages	5
Journal	Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Volume	26
Issue number	6
Publication status	Published - 2005 Jun

Cite this

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title = "A Monte-Carlo study for propensity score methods",

abstract = "OBJECTIVE: To evaluate the statistical property of the estimators on exposure effect and value of propensity score methods in practical use. METHODS: Simulation data, propensity score methods (PSM) were conducted to assess bias and efficiency, under both with/without model misspecification conditions. RESULTS: Under model misspecification conditions, propensity score methods had better robustness than model based methods. CONCLUSION: For large and complicated data, propensity score methods had more flexibility in practical use than model based methods.",

author = "Tao Wang and Takuhiro Yamaguchi and Yasuo Ohashi and Feng, {Xue shan} and Jiang, {Qing wu}",

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AU - Wang, Tao

AU - Yamaguchi, Takuhiro

AU - Ohashi, Yasuo

AU - Feng, Xue shan

AU - Jiang, Qing wu

PY - 2005/6

Y1 - 2005/6

N2 - OBJECTIVE: To evaluate the statistical property of the estimators on exposure effect and value of propensity score methods in practical use. METHODS: Simulation data, propensity score methods (PSM) were conducted to assess bias and efficiency, under both with/without model misspecification conditions. RESULTS: Under model misspecification conditions, propensity score methods had better robustness than model based methods. CONCLUSION: For large and complicated data, propensity score methods had more flexibility in practical use than model based methods.

AB - OBJECTIVE: To evaluate the statistical property of the estimators on exposure effect and value of propensity score methods in practical use. METHODS: Simulation data, propensity score methods (PSM) were conducted to assess bias and efficiency, under both with/without model misspecification conditions. RESULTS: Under model misspecification conditions, propensity score methods had better robustness than model based methods. CONCLUSION: For large and complicated data, propensity score methods had more flexibility in practical use than model based methods.

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JO - Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

JF - Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

IS - 6

ER -

A Monte-Carlo study for propensity score methods

Abstract

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