期刊论文(*代表通讯作者):
22. Cheng, M., Liu, Y., Ma, H.*, and Qin, J. (2023+). Maximum full likelihood approach to randomly truncated data. Journal of Systems Science & Complexity. Accepted.
21. Ma, H., Qin, J. and Zhou, Y. (2023). From conditional quantile regression to marginal quantile estimation with applications in missing data and causal inference. Journal of Business & Economic Statistics. 41(4): 1377-1390.
20. Li, W., Ma, H.*, Faraggi, D, and Dinse, G. (2023). Generalized mean residual life models for survival data with missing censoring indicators. Statistics in Medicine. 42(3): 264-280.
19. Ma, H.*, Qin, J., Chen, F., and Zhou, Y. (2023). A novel nonparametric mixture model for the infection pattern of COVID-19 on Diamond Princess cruise. Statistical Theory and Related Fields. 7:1, 85-96.
18. Ma, H., Zheng, Q., Zhang, Z., Lai, H-C., and Peng, L. (2023). Globally adaptive longitudinal quantile regression with high dimensional compositional covariates. Statistica Sinica. 33, 1295-1318.
17. Ma, H.*, Pang, W., Sun, L., and Xu, W. (2022). Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type. Statistics in Medicine. 41(22): 4285–4298.
16. Qiu, Z., Ma, H.*, and Shi, J. (2022). Reweighting estimators for the transformation models with length-biased sampling data and missing covariates, Communications in Statistics-Theory and Methods, 51(13): 4252--4275.
15. Qiu, Z., Ma, H.*, Chen, J., and Dinse, G. (2021). Quantile regression models for survival data with missing censoring indicators. Statistical Methods in Medical Research. 30(5): 1320–1331.
14. Ma, H., Peng, L., Huang, C-Y. and Fu, H. (2021). Heterogeneous individual risk modelling of recurrent events. Biometrika. 108(1): 183–198.
13. Ma, H., Zhao, W. and Zhou, Y. (2020). Semiparametric model of mean residual life with biased sampling data. Computational Statistics and Data Analysis. 142: 106826.
12. Ma, H., Peng, L. and Fu, H. (2019). Quantile regression modeling of latent trajectory features with longitudinal data. Journal of Applied Statistics. 46: 2884-2904.
11. Ma, H., Shi, J. and Zhou, Y. (2019). Proportional mean residual life model with censored survival data under case-cohort design. Statistics and Its Interface. 12: 21-33.
10. Ma, H., Peng, L., Zhang, Z. and Lai, H-C. (2018). Generalized accelerated recurrence time models for multivariate recurrent events data with missing event type. Biometrics. 74: 954-965.
9. Fan, C., Ma, H.* and Zhou, Y. (2018). Quantile regression for competing risks analysis under case-cohort design. Journal of Statistical Computation and Simulation. 88: 1060-1080.
8. Shi, J., Ma, H. and Zhou, Y. (2018). The nonparametric quantile estimation for length-biased and right censored data. Statistics and Probability Letters. 134: 150-158.
7. Li, Y., Ma, H., Wang, D. and Zhou, Y. (2017). Analyzing the general biased data by additive risk model. Science China Mathematics. 60: 685-700.
6. Ma, H.* and Zhou, Y. (2017). Pseudo likelihood for case-cohort studies under length-biased sampling. Communications in Statistics-Theory and Methods. 46: 28-48.
5. Ma, H.*, Qiu, Z. and Zhou, Y. (2016). Semiparametric analysis of transformation models with length-biased data under case-cohort design. Statistics and Its Interface. 9: 213-222.
4. Tian, G., Ma, H.*, Zhou, Y. and Deng, D. (2015). Generalised endpoint-inflated binomial model. Computational Statistics and Data Analysis. 89: 97-114.
3. Ma, H.*, Zhang, F. and Zhou, Y. (2015). Composite estimating equation approach for the additive risk model with length-biased and right-censored data. Statistics and Probability Letters, 96: 45-53.
2. 马慧娟, 范彩云和周勇(2015).长度偏差右删失数据下分位数回归的估计方程方法. 中国科学：数学. 45:1981-2000.
1. 肖鸿民, 马慧娟(2011).负相依重尾索赔条件下损失过程的精细大偏差. 兰州大学学报（自然科学版）. 3: 101-146.
摘要：
4. Zhang, Z., Ma, H., Peng, L., Lai, H-C., and the FIRST Study Group. (2018). Different lung disease presentations in infants with Cystic Fibrosis. Pediatric Pulmonology. 53(S2): S329-S329.
3. Ma, H., Peng, L., Zhang, Z., Lai, H-C., and the FIRST Study Group. (2017). Investigating the dynamic heterogeneity of weight growth in infants with Cystic Fibrosis through a novel statistical analysis. Pediatric Pulmonology. 52(S47): S408-S409.
2. Yang, J., Peng, L., Zhang, Z., Rahman, F, Ma, H., Lai, H-C, and the FIRST Study Group. (2016). Joint profile of respiratory infections and their association with breastfeeding in infants with Cystic Fibrosis. Pediatric Pulmonology. 51(S45): S327-S327.
1. Zhang, Z., Ma, H., Peng, L, Lai, H-C, and the FIRST Study Group.(2016). Gut microbiota in early childhood in Cystic Fibrosis. Pediatric Pulmonology. 51(S45): S325-S325.
