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For: Zhao Y. Semiparametric inference for transformation models via empirical likelihood. J MULTIVARIATE ANAL 2010. [DOI: 10.1016/j.jmva.2010.03.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Number Cited by Other Article(s)
1
Empirical likelihood inference for semi-parametric transformation models with length-biased sampling. Comput Stat Data Anal 2019. [DOI: 10.1016/j.csda.2018.10.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
2
Jinnah A, Zhao Y. Empirical likelihood inference for the bivariate survival function under univariate censoring. COMMUN STAT-SIMUL C 2017. [DOI: 10.1080/03610918.2015.1117635] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
3
Chen W, Wang D. Empirical likelihood inference for a semiparametric hazards regression model. COMMUN STAT-THEOR M 2016. [DOI: 10.1080/03610926.2014.901368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
4
Yang H, Liu S, Zhao Y. Jackknife empirical likelihood for linear transformation models with right censoring. ANN I STAT MATH 2015. [DOI: 10.1007/s10463-015-0528-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
5
Feng Y, Ma L, Sun J. Empirical Analysis of Interval-Censored Failure Time Data with Linear Transformation Models. COMMUN STAT-THEOR M 2015. [DOI: 10.1080/03610926.2013.813047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
6
Zhang Z, Zhao Y. Empirical likelihood for linear transformation models with interval-censored failure time data. J MULTIVARIATE ANAL 2013. [DOI: 10.1016/j.jmva.2013.01.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
7
Empirical likelihood method for multivariate Cox regression. Comput Stat 2012. [DOI: 10.1007/s00180-012-0348-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
8
Yang H, Zhao Y. New empirical likelihood inference for linear transformation models. J Stat Plan Inference 2012. [DOI: 10.1016/j.jspi.2012.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
9
Zhao Y, Yang S. Empirical likelihood confidence intervals for regression parameters of the survival rate. J Nonparametr Stat 2012. [DOI: 10.1080/10485252.2011.621024] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
10
Zhao Y, Jinnah A. Inference for Cox’s regression models via adjusted empirical likelihood. Comput Stat 2011. [DOI: 10.1007/s00180-010-0225-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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