Journal of Guangxi Normal University(Natural Science Edition) ›› 2023, Vol. 41 ›› Issue (1): 122-130.doi: 10.16088/j.issn.1001-6600.2022010502
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DU Jierui, CUI Xia*, LI Yuan
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[1] TIAN L,ALIZADEH A A,GENTLES A J,et al. A simple method for estimating interactions between a treatment and a large number of covariates[J]. Journal of the American Statistical Association,2014,109(508):1517-1532. [2]FRANGAKIS C E,RUBIN D B. Principal stratification in causal inference[J]. Biometrics,2002,58(1):21-29. [3]ANGRIST J D,IMBENS G W,Rubin D B. Identication of causal effects using instrumental variables[J]. Journal of the American Statistical Association,1996,91(434):444-455. [4]IMBENS G W,RUBIN D B. Bayesian inference for causal effects in randomized experiments with noncompliance[J]. The Annals of Statistics,1997,25(1):305-327. [5]ABADIE A. Semiparametric instrumental variable estimation of treatment response models[J]. Journal of Econometrics,2003,113(2):231-263. [6]BARNARD J,FRANGAKIS C E,HILL J L,et al. Principal stratification approach to broken randomized experiments:a case study of school choice vouchers in New York City[J]. Journal of the American Statistical Association,2003,98(462):299-323. [7]ZIGLER C M,BELIN T R. The potential for bias in principal causal effect estimation when treatment received depends on a key covariate[J]. The Annals of Applied Statistics,2011,5(3):1876-1892. [8]BAIOCCHI M,CHENG J,SMALL D S. Tutorial in biostatistics:instrumental variable methods for causal inference[J]. Statistics in Medicine,2014,33(13):2297-2340. [9]陈永杰,张秋菊,王玉鹏,等. 随机对照试验不依从数据分析方法的比较研究[J]. 中国卫生统计,2015,32(4):594-597. [10]许颖玉,张忠占. 依从者平均因果效应的统计推断[J]. 数理统计与管理,2015,34(3):409-419. [11]苗旺,刘春辰,耿直. 因果推断的统计方法[J]. 中国科学:数学,2018,48(12):1753-1778. [12]CHEN H,DING P,GENG Z,et al. Semiparametric inference of the complier average causal effect with nonignorable Missing outcomes[J]. ACM Transactions on Intelligent Systems & Technology,2016,7(2):19. [13]DING P,LU J N. Principal stratification analysis using principal scores[J]. Journal of the Royal Statistical Society:Series B (Statistical Methodology),2017,79(3):757-777. [14]PARK S, KRM E. A two-stage joint modeling method for causal mediation analysis in the presence of treatment noncompliance[J]. Journal of Causal Inference,2020,8(1):131-149. [15]SICULAR T,LI S, YUE X M, et al. Changing trends in China’s inequality:evidence,analysis and prospects[M]. New York:Oxford University,2020. [16]罗楚亮,李实,岳希明. 中国居民收入差距变动分析(2013—2018)[J]. 中国社会科学,2021(1):33-54,204-205. |
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