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| 1 | Statistical inference for right-censored data with nonignorable missing censoring indicators显示文摘We consider the statistical inference for right-censored data when censoring indicators are missing but nonignorable, and propose an adjusted imputation product-limit estimator. The proposed estimator is shown to be consistent and converges to a Gaussian process. Furthermore, we develop an empirical processbased testing method to check the MAR (missing at random) mechanism, and establish asymptotic properties for the proposed test statistic. To determine the critical value of the test, a consistent model-based bootstrap method is suggested. We conduct simulation studies to evaluate the numerical performance of the proposed method and compare it with existing methods. We also analyze a real data set from a breast cancer study for an illustration. | SUN ZhiHua XIE TianFa LIANG Hua | 2013 | Science China Mathematics2013，56，6： | 1 |
| 2 | Identifiability of models for clinical trials with noncompliance显示文摘 | Xie Tianfa Zhang Zhongzhan | 2004 | Discrete and Continuous Dynamical Systems Series B2004，4，3： | 1 |
| 3 | LARGE SAMPLE AND ROBUST PROPERTIES OF L^2-MEDIAN显示文摘 | Tianfa XIE Guoying LI | 2010 | Journal of Systems Science & Complexity2010，23，6： | 0 |
| 4 | Concentrations of phthalates metabolites in blood and semen and the potential effects on semen concentration and motility among residents of the Pearl River Delta region in China显示文摘Exposure to phthalate acid esters(PAEs)has been found to have adverse effects on reproduction of human and animal.However,the effects on the semen quality are controversial.In this study,we have collected paired blood and sperm samples from patients(n=103)at a medical clinic in Guangzhou,China,to determine the concentrations of eight phthalate metabolites∑8m-PAEs).The concentration ranges of P8m-PAEs were 2.7-55 and 0.99-17 ng/mL in blood and semen samples,respectively.MEHP(median,3.6 ng/mL in blood and 0.55 ng/mL in semen)and MnOP(median,3.4 ng/mL in blood and 0.69 ng/mL in semen)were the predominant analytes in both blood and semen samples.However,analytes were not correlated in paired blood and semen.Semen motility was significantly associated to the concentrations of∑8m-PAEs in semen,but it did not associate to the concentrations of PAEs in blood.Multi-linear regression analysis,including concentrations of PAEs in both blood and semen,as well as BMI,occupation,living habits,suggested that exposure to PAEs at current environmental levels had very limited effects on semen quality of population in Guangzhou,China. | Xiaofei Song Qiongfang Zhuo Shaoyu Tang Tianfa Xie Zhiyuan Chen Zhijun Zang Yanan Zhang Xiaojun Niu Hua Yin Feng Zeng Chang He | 2020 | Emerging Contaminants2020，6，1： | 0 |
| 5 | Estimation in Partially Observed Functional Linear Quantile Regression显示文摘Currently,working with partially observed functional data has attracted a greatly increasing attention,since there are many applications in which each functional curve may be observed only on a subset of a common domain,and the incompleteness makes most existing methods for functional data analysis ineffective.In this paper,motivated by the appealing characteristics of conditional quantile regression,the authors consider the functional linear quantile regression,assuming the explanatory functions are observed partially on dense but discrete point grids of some random subintervals of the domain.A functional principal component analysis(FPCA)based estimator is proposed for the slope function,and the convergence rate of the estimator is investigated.In addition,the finite sample performance of the proposed estimator is evaluated through simulation studies and a real data application. | XIAO Juxia XIE Tianfa ZHANG Zhongzhan | 2022 | Journal of Systems Science & Complexity2022，35，1： | 0 |
| 6 | Least Squares Model Averaging for Two Non-Nested Linear Models显示文摘This paper studies the least squares model averaging methods for two non-nested linear models.It is proved that the Mallows model averaging weight of the true model is root-n consistent.Then the authors develop a penalized Mallows criterion which ensures that the weight of the true model equals 1 with probability tending to 1 and thus the averaging estimator is asymptotically normal.If neither candidate model is true,the penalized Mallows averaging estimator is asymptotically optimal.Simulation results show the selection consistency of the penalized Mallows method and the superiority of the model averaging approach compared with the model selection estimation. | GAO Yan XIE Tianfa ZOU Guohua | 2023 | Journal of Systems Science & Complexity2023，36，1： | 0 |
| 7 | Rank-Based Test for Partial Functional Linear Regression Models显示文摘This paper investigates the hypothesis test of the parametric component in partial functional linear regression models.Based on a rank score function,the authors develop a rank test using functional principal component analysis,and establish the asymptotic properties of the resulting test under null and local alternative hypotheses.A simulation study shows that the proposed test procedure has good size and power with finite sample sizes.The authors also present an illustration through fitting the Berkeley Growth Data and testing the effect of gender on the height of kids. | XIE Tianfa CAO Ruiyuan YU Ping | 2020 | Journal of Systems Science & Complexity2020，33，5： | 0 |
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