Fuqiang Huang1, Chunlin DU, Menghui Sun, Bing Ning, Ying Luo, Shengli An. 1. Department of Biostatistics, School of Public Health, Southern Medical University/Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangzhou 510515, China.
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.
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.