| 学术论文： |
1. Liu, T., Lin, N. and *Zhang, B. (2009), Empirical likelihood for balanced ranked-set sampled data, Science China Mathematics, 52, 1351-1364. (SCI) 2. Liu, T., Lin, N., Shi, N. and *Zhang, B. (2009), Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments, BMC Bioinformatics, 10: 146. (SCI) 3. Zhang, B., Liu, T. and *Bai, Z. (2010), Analysis of rounded data from dependent sequences, Annals of the Institute of Statistical Mathematics, 62, 1143-1173. (SCI) 4. Liu, T. Zhang, B., Hu, G. and *Bai, Z. (2010), Revisit of Sheppard corrections in linear regression, Science China Mathematics, 53, 1435-1451. (SCI) 5. Yuan, X., *Liu, T., Lin, N. and *Zhang, B. (2010), Combining conditional and unconditional moment restrictions with missing responses, Journal of Multivariate Analysis, 101, 2420-2433. (SCI) 6. Li , W., Liu, T. and *Bai, Z. (2012), Rounded data analysis based on ranked set sample, Statistical Papers, 53,439–455 (SCI) 7. *Liu, T. and Yuan, X. (2012), Combining quasi and empirical likelihoods in generalized linear models with missing responses, Journal of Multivariate Analysis, 111, 39-58. (SCI) 8. *Liu, T.，Yuan, X., Lin, N. and *Zhang, B. (2012),Rank-based empirical likelihood inference on medians of k populations, Journal of Statistical Planning and Inference,142, 1009-1026.(SCI) 9. Liu, T.，Yuan, X., Li, Z. and *Li, Y. (2013), Empirical and weighted conditional likelihoods for matched case-control studies with missing covariates, Journal of Multivariate Analysis, 119, 185-199. (SCI) 10. *Liu, T. and Yuan, X. (2013), Random rounded integer-valued autoregressive conditional heteroskedastic process, Statistical Papers, 54:645–683. (SCI)
11. *Liu, T., Bai, Z. and *Zhang, B. (2014), Weighted estimating equation: modified GEE in longitudinal data analysis , Frontiers of Mathematics in China, 9: 329-353. (SCI) 12. *Li ,Y., Yolken, R., Cowan, D. N., Boivin, M. R., Liu T. and Niebuhr, D. W. (2015), Biomarker identification and effect estimation on schizophrenia – a high dimensional data analysis, Frontiers in Public Health, 3: 75. (SCI) 13. Liu, T. and *Yuan, X., (2016), Weighted quantile regression with missing covariates using empirical likelihood, Statistics: A Journal of Theoretical and Applied Statistics, 50:89-113. (SCI) 14. Zhang, Z., *Liu, T. and * Zhang, B., (2016), Jackknife empirical likelihood inferences for the population mean with ranked set samples, Statistics and Probability Letters, 108: 16-22 (SCI) 15. Yuan, X., Lin, N., Dong, X. and *Liu, T. , (2017), Weighted quantile regression for longitudinal data using empirical likelihood, Science China Mathematics, 60: 147–164. (SCI) 16. Liu, T., *Wu, C. O., Li, Z. and Li, Y. (2018) , Semiparametric random-effects conditional density models for longitudinal analysis with concomitant intervention, Statistica Sinica , 28 : 1333-1349. (SCI) 17. Liu, T. and *Yuan, X., (2020) Doubly robust augmented-estimating-equations estimation with nonignorable nonresponse data, Statistical Papers, 61:2241–2270. (SCI) 18. Yuan, X., Wang, Y. and *Liu, T. (2020) Variable selection for semiparametric random-effects conditional density models with longitudinal data, Communications in Statistics-Theory and Methods, 49: 977-996. (SCI) 19. Liu, T. and *Yuan, X., (2020) Adaptive empirical likelihood estimation with nonignorable nonresponse data, Statistics, 54: 1-22. (SCI) 20.*Liu, T. and Yuan, X., (2020) Empirical likelihood-based weighted rank regression with missing covariates, Statistical Papers, 61: 697–725. (SCI) 21. Liu, T., *Yuan, X. and Sun, J. (2021) Weighted rank estimation for nonparametric transformation models with doubly truncated data, Journal of the Korean Statistical Society 50:1–24. (SCI) 22. Yuan, X, Li, H. and *Liu, T. (2021) Empirical likelihood inference for rank regression with doubly truncated data, AStA Advances in Statistical Analysis 105:25–73. (SCI) 23. Liu, T., *Yuan, X. and *Sun, J. (2021) Weighted rank estimation for nonparametric transformation models with nonignorable missing data. Computational Statistics and Data Analysis 153: 107061.
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