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Application of Propensity Score Method in Causal Inference——The Practice of RAND Corp.
Received date: 2016-05-20
Revised date: 2016-09-02
Online published: 2016-10-05
[Purpose/significance] By examining the research of the Rand Corporation on the propensity score method, this article summarizes the general research steps in the causal inference research, and purposes some reference in information science study of China. [Method/process] By deeply reading Rand Corporation's released reports, this article analyzes the current study situation from the perspective of time, research type and content of research. Then by selecting a representative study case, this article summarizes the operation flow of propensity score method. [Result/conclusion] RAND Corporation has a wide range of research and applications on propensity score method gradually standardized and mature in the study, which can effectively deal with observational data, broaden the scope of the information science study and improve the quality and efficiency of research.
Key words: propensity score; RAND Corp; causal inference; information science study
Li Yunfei . Application of Propensity Score Method in Causal Inference——The Practice of RAND Corp.[J]. Library and Information Service, 2016 , 60(19) : 135 -142 . DOI: 10.13266/j.issn.0252-3116.2016.19.017
[1] GUO S, FRADER M W. Propensity score analysis: statistical methods and applications[M]. New York: Sage Publications, 2014.
[2] GREENLAND S, PEARL J, ROBINS J M. Causal diagrams for epidemiologic research[J]. Epidemiology, 1999, 10(1): 37-48.
[3] 苏毅清, 周永刚, 王志刚. 倾向评分匹配法的基本逻辑、应用领域和发展趋势[J]. 郑州航空工业管理学院学报, 2015(3):5-14.
[4] ROSENBAUM P R, RUBIN D B. The central role of the propensity score in observational studies for causal effects[J]. Biometrika, 1983, 70(1): 41-55.
[5] LEE B K, LESSLER J, STUART E A. Improving propensity score weighting using machine learning[J]. Statistics in medicine, 2010, 29(3): 337-346.
[6] SETOGUCHI S, SCHNEEWEISS S, BROOKHART M A, et al. Evaluating uses of data mining techniques in propensity score estimation: a simulation study[J]. Pharmacoepidemiology and drug safety, 2008, 17(6): 546-555.
[7] BUCHANAN J L, BELL R M, WITSBERGER C, et al. A matched-sampling algorithm for the nursing home connection demonstration[EB/OL].[2016-08-22]. http://www.rand.org/pubs/notes/N2823.html.
[8] 王延飞, 闫志开, 何芳. 从智库功能看情报研究机构转型[J]. 情报理论与实践, 2015(5):1-4,11.
[9] SAAVEDRA A R. The academic impact of enrollment in international baccalaureate diploma programs: a case study of Chicago public schools[J]. Teachers college record, 2014, 116(4): 1-40.
[10] LIU H, MATTKE S, HARRIS K M, et al. Do workplace wellness programs reduce medical costs? evidence from a Fortune 500 company[J]. Inquiry: the journal of health care organization, provision, and financing, 2013, 50(2): 150-158.
[11] BURGETTE L, GRIFFIN B A, MCCAFFREY D. Propensity scores for multiple treatments: a tutorial for the mnps function in the twang package[EB/OL].[2016-08-22]. http://www.rand.org/pubs/tools/TL169z1.html.
[12] RILEY K J, TURNER S, MACDONALD J, et al. Police-community relations in Cincinnati[EB/OL].[2016-08-22]. http://www.rand.org/pubs/monographs/MG853.html.
[13] RIDGEWAY G. Assessing the effect of race bias in post-traffic stop outcomes using propensity scores[J]. Journal of quantitative criminology, 2006, 22(1): 1-29.
[14] RIDGEWAY G. Analysis of racial disparities in the New York Police Department's stop, question, and frisk practices[M]. Santa Monica, CA: Rand Corporation, 2007.
[15] HICKMAN L J, SUTTORP M J. The recidivism patterns of previously deported aliens released from a local jail: are they high-risk offenders?[J]. Crime & delinquency, 2010, 56(4): 507-534.
[16] BASURTO-DAVILA R. Selection, wear, and tear: the health of hispanics and hispanic immigrants in the United States[M]. Santa Monica, CA: The pardee RAND graduate school, 2009.
[17] TEBES J K, FEINN R, VANDERPLOEG J J, et al. Impact of a positive youth development program in urban after-school settings on the prevention of adolescent substance use[J]. Journal of adolescent health, 2007, 41(3): 239-247.
[18] RINGEL J S, ELLICKSON P L, COLLINS R L. High school drug use predicts job-related outcomes at age 29[J]. Addictive behaviors, 2007, 32(3): 576-589.
[19] PHAM C. High school graduation rates in the United States and the impact of adolescent romance[EB/OL].[2016-08-22]. http://www.rand.org/pubs/rgs_dissertations/RGSD276.html.
[20] GO M H, TUCKER J S, GREEN H D, et al. Social distance and homophily in adolescent smoking initiation[J]. Drug and alcohol dependence, 2012, 124(3): 347-354.
[21] MACDONALD J M, STOKES R J, COHEN D A, et al. The effect of light rail transit on body mass index and physical activity[J]. American journal of preventive medicine, 2010, 39(2): 105-112.
[22] COHEN D A, GOLINELLI D, WILLIAMSON S, et al. Effects of park improvements on park use and physical activity: policy and programming implications[J]. American journal of preventive medicine, 2009, 37(6): 475-480.
[23] BOER R, ZHENG Y, OVERTON A, et al. Neighborhood design and walking trips in ten US metropolitan areas[J]. American journal of preventive medicine, 2007, 32(4): 298-304.
[24] WERBER L, DAUGHERTY L, KEATING E G, et al. An assessment of the civilian acquisition workforce personnel demonstration project[EB/OL].[2016-08-22]. http://www.rand.org/pubs/technical_reports/TR1286.html.
[25] LIU H, BURNS R M, SCHAEFER A G, et al. The Pennsylvania certified safety committee program: an evaluation of participation and effects on work injury rates[J]. American journal of industrial medicine, 2010, 53(8): 780-791.
[26] BUDDIN R, KAPUR K. The effect of employer-sponsored education on job mobility: evidence from the US navy[J]. Industrial relations: a journal of economy and society, 2005, 44(2): 341-363.
[27] ELLIOTT M N, BECKETT M K, CHONG K, et al. How do proxy responses and proxy-assisted responses differ from what medicare beneficiaries might have reported about their health care?[J]. Health services research, 2008, 43(3): 833-848.
[28] CASTLE N G, ENGBERG J. The health consequences of using physical restraints in nursing homes[J]. Medical care, 2009, 47(11): 1164-1173.
[29] LI M. Using the propensity score method to estimate causal effects a review and practical guide[J]. Organizational research methods, 2013, 16(2): 188-226.
[30] DO M P, KINCAID D L. Impact of an entertainment-education television drama on health knowledge and behavior in Bangladesh: an application of propensity score matching[J]. Journal of health communication, 2006, 11(3): 301-325.
[31] RISHIKA R, KUMAR A, JANAKIRAMAN R, et al. The effect of customers' social media participation on customer visit frequency and profitability: an empirical investigation[J]. Information systems research, 2013, 24(1): 108-127.
[32] 陈玉宇, 吴玉立. 信息化对劳动力市场的影响: 个人电脑使用回报率的估计[J]. 经济学(季刊), 2008(4):1149-1166.
[33] 许竹青, 郑风田, 陈洁. "数字鸿沟"还是"信息红利"?信息的有效供给与农民的销售价格——一个微观角度的实证研究[J]. 经济学(季刊), 2013(4):1513-1536.
[34] 陈超. 情报与智库[J]. 竞争情报, 2015(2):3.
[35] 马费成. 情报学发展的历史回顾及前沿课题[J]. 图书情报知识, 2013(2):4-12.
[36] 李纲, 李阳. 情报视角下的智库建设研究[J]. 图书情报工作, 2015,59(11):36-41,61.
[37] 王延飞, 王林兰. 论情报研究质量[J]. 图书情报工作, 2010,54(10):35-39.
[38] 顾森. 思考的乐趣: Matrix67数学笔记[M]. 北京: 人民邮电出版社, 2012.
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