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Huang F, DU C, Sun M, et al. [Propensity score matching in SPSS]. Nan Fang Yi Ke Da Xue Xue Bao. 2015;35(11):1597-601
Huang, F., DU, C., Sun, M., Ning, B., Luo, Y., & An, S. (2015). [Propensity score matching in SPSS]. Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 35(11), 1597-601.
Huang, Fuqiang, et al. "[Propensity score matching in SPSS]." Nan fang yi ke da xue xue bao = Journal of Southern Medical University vol. 35,11 (2015): 1597-601.
Huang F, DU C, Sun M, Ning B, Luo Y, An S. [Propensity score matching in SPSS]. Nan Fang Yi Ke Da Xue Xue Bao. 2015 Nov;35(11):1597-601. Chinese. PMID: 26607082.
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Nan Fang Yi Ke Da Xue Xue Bao. 2015 Nov;35(11):1597-601.

[Propensity score matching in SPSS].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University

[Article in Chinese]
Fuqiang Huang, Chunlin DU, Menghui Sun, Bing Ning, Ying Luo, Shengli An

Affiliations

  1. Department of Biostatistics, School of Public Health, Southern Medical University/Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangzhou 510515, China.

PMID: 26607082

Abstract

OBJECTIVE: To realize propensity score matching in PS Matching module of SPSS and interpret the analysis results.

METHODS: The R software and plug-in that could link with the corresponding versions of SPSS and propensity score matching package were installed. A PS matching module was added in the SPSS interface, and its use was demonstrated with test data.

RESULTS: Score estimation and nearest neighbor matching was achieved with the PS matching module, and the results of qualitative and quantitative statistical description and evaluation were presented in the form of a graph matching.

CONCLUSION: Propensity score matching can be accomplished conveniently using SPSS software.

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