教育背景
2005年08月至2008年06月 香港中文大学(博士,统计专业)
2002年09月至2005年07月 中山大学(硕士,概率论与数理统计专业)
1998年09月至2002年07月 中山大学(学士,概率论与数理统计专业)
工作经历
2013年01月至今 中山大学数学学院,副教授
2010年08月至2012年12月 中山大学数学与计算科学学院,讲师
2008年07月至2010年07月 中山大学数学与计算科学学院,师资博士后
项目课题经历
科研项目
项目名称:含混合数据类型的纵向结构方程模型分析
项目来源:国家自然科学基金项目(青年科学基金)
起止年月:2012年1月至2014年12月
项目名称:带类别数据、异构数据及不可忽略缺失值的结构方程模型分析
项目来源:国家自然科学基金项目(专项基金项目:数学天元青年基金)
起止年月:2011年1月至2011年12月
论文、成果、著作等
1. Liang, C. Y. and Cai, J. H.* (2020) Bayesian variable selection and estimation in joint confirmatory factor analysis--Cox model. Statistics and Its Interface, 13 (1), 49-63. https://doi.org/10.4310/SII.2020.v13.n1.a5
2. Cai, J. H., Liang, Z. B., Sun, R. Q., Liang, C. Y. and Pan, J. H. (2019) Bayesian analysis of latent Markov models with non-ignorable missing data. Journal of Applied Statistics, 46 (13), 2299-2313. https://doi.org/10.1080/02664763.2019.1584162
3. Cai, J. H. and Liang, C. Y. (2019) Bayesian analysis of semi-parametric Cox models with latent variables. Statistical Methods in Medical Research, 28 (7), 2150-2164. https://doi.org/10.1177/0962280217751520
4. Kang, K., Cai, J. H., Song, X. Y. and Zhu, H. T. (2019) Bayesian hidden Markov models for delineating the pathology of Alzheimer’s disease. Statistical Methods in Medical Research, 28 (7), 2112-2124. https://doi.org/10.1177/0962280217748675
5. Lin, H. T., Long, E. P., Ding, X. H., Diao, H. X., Chen, Z. C., Liu, R. Z., Huang, J. L., Cai, J. H., Xu, S. J., Zhang, X. Y. Wang, D. N., Chen, K. X., Yu, T. Y., Wu, D. X., Zhao, X. T., Liu, Z. Z., Wu, X. H., Jiang, Y. Z., Yang, X., Cui, D. M., Liu, W. Y., Zheng, Y. F., Luo, L. X., Wang, H. B., Chan, C. C., Morgan, I. G., He, M. G. and Liu, Y. Z. (2018) Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study. PLOS Medicine, 15 (11): e1002674. https://doi.org/10.1371/journal.pmed.1002674
6. Yeung, R. O., Cai, J. H., Zhang, Y. Y. Luk, A. O., Pan, J. H., Yin, J. M., Ozaki, R., Kong, A. P. S., Ma, R. C. W., So, W. Y., Tsang, C. C., Lau, K. P., Fisher, E., Goggins, W., Oldenburg, B. and Chan, J. C. N. (2018) Determinants of hospitalization in Chinese patients with type 2 diabetes receiving a peer support intervention and JADE integrated care: the PEARL randomised controlled trial. Clinical Diabetes and Endocrinology, 4:5. https://doi.org/10.1186/s40842-018-0055-6
7. Cai, J. H., Ouyang, M., Kang, K. and Song, X. Y. (2018) Bayesian diagnostics of hidden Markov structural equation models with missing data. Multivariate Behavioral Research, 53 (2), 151-171. https://doi.org//10.1080/00273171.2017.1407233
8. Song, X. Y., Kang, K., Ouyang, M., Jiang, X. J. and Cai, J. H.* (2018) Bayesian analysis of semiparametric hidden Markov models with latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 25 (1), 1-20. https://doi.org//10.1080/10705511.2017.1364968
9. Cai, J. H., He, H. J., Song, X. Y. and Sun, L. Q. (2017) An additive-multiplicative mean residual life model for right-censored data. Biometrical Journal, 59 (3), 579-592. https://doi.org//10.1002/bimj.201600068
10. Long, E. P., Xu, S. J., Liu, Z. Z., Wu, X. H., Zhang, X. Y., Wang, J. H., Li, W. T., Liu, R. Z., Chen, Z. C., Chen, K. X., Yu, T. Y., Wu, D. X., Zhao, X. T., Chen, J. J., Lin, Z. L., Cao, Q. Z., Lin, D. R., Cai, J. H.* and Lin H. T.* (2017) Construction and implications of structural equation modeling network for pediatric cataract: a data mining research of rare diseases. BMC Ophthalmology, 17:74. https://doi.org//10.1186/s12886-017-0468-5
11. He, H. J., Cai, J. H., Song, X. Y. and Sun, L. Q. (2017) Analysis of proportional mean residual life model with latent variables. Statistics in Medicine, 36 (5), 813-826. https://doi.org//10.1002/sim.7174
12. Song, X. Y., Pan, D., Liu, P. F. and Cai, J. H.* (2016) Bayesian analysis of transformation latent variable models with multivariate censored data. Statistical Methods in Medical Research, 25 (5), 2337-2358. https://doi.org//10.1177/0962280214522786
13. Sun, Z. X., Zhai, Y. F., Zhang, J. Q., Kang, K., Cai, J. H., Fu, Y. G., Qiu, J. Q., Shen, J. W. and Zhang, W Q. (2015) The genetic basis of population fecundity prediction across multiple field populations of Nilaparvata lugens. Molecular Ecology, 24 (4), 771-784. https://doi.org//10.1111/mec.13069
14. Song, X. Y., Cai, J. H.*, Feng, X. N. and Jiang, X. J. (2014) Bayesian analysis of functional-coefficient autoregressive heteroscedastic model. Bayesian Analysis, 9 (2), 371-396. https://doi.org//10.1214/14-ba865
15. Song, X. Y., Lu, Z. H, Cai, J. H.* and Ip, E. H. S. (2013) A Bayesian modeling approach for generalized semiparametric structural equation models. Psychometrika, 78 (4), 624-647. https://doi.org//10.1007/s11336-013-9323-7
16. Guo, X., Yang, X. F., Yang, Y., Hans, R., Cai, J. H., Xue, J. Y., Tan, X. H., Xie, X. P., Xiong, X. K. and Huang, J. M. (2012) Prediction of ocular irritancy of 26 chemicals and 26 cosmetic products with isolated rabbit eye (IRE) test. Biomedical and Environmental Sciences, 25 (3), 359-366. https://doi.org//10.3967/0895-3988.2012.03.015
17. Wu, D. R., Cai, Y. F., Cai, J. X., Liu, Q. L., Zhao, Y. Q., Cai, J. H., Zhao, M., Huang, Y. H., Ye, L., Lu, Y. B. and Guo, X. P. (2012) Comparative effectiveness research on patients with acute ischemic stroke using Markov decision processes. BMC Medical Research Methodology, 12:23. https://doi.org//10.1186/1471-2288-12-23
18. Cai, J. H., Song, X. Y., Lam, K. H. and Ip, E. H. S. (2011) A mixture of generalized latent variable models for mixed mode and heterogeneous data. Computational Statistics and Data Analysis, 55 (11), 2889-2907. https://doi.org//10.1016/j.csda.2011.05.011
19. Cai, J. H., Song, X. Y. and Hser, Y. I. (2010) A Bayesian analysis of mixture structural equation models with non-ignorable missing response and covariates. Statistics in Medicine, 29 (18), 1861-1874. https://doi.org//10.1002/sim.3915.
20. Cai, J. H. and Song, X. Y. (2010) Bayesian analysis of mixtures in structural equation models with nonignorable missing data. British Journal of Mathematical and Statistical Psychology, 63 (3), 491-508. https://doi.org//10.1348/000711009x475187
21. Lee, S. Y., Song, X. Y. and Cai, J. H. (2010) A Bayesian approach for nonlinear structural equation models with dichotomous variables using logit and probit links. Structural Equation Modeling: A Multidisciplinary Journal, 17 (2), 280-302. https://doi.org//10.1080/10705511003659425
22. Yang, Y., Yang, X. F., Zhang, W. G., Cai, J. H., Xue, J. Y., Yang, G. Y., Tian, X. H., Xie, X. H., Xie, X. P., Xiong, X. K., Huang, J. M. and Guo, X. (2010) Combined in vitro tests as an alternative to in vivo eye irritation tests. ATLA-Alternatives to Laboratory Animals, 38 (4), 303-314.
23. Song, X. Y., Lee, S. Y., Ma, R. C. W., So, W. Y., Cai, J. H., Tam, C., Lam, V., Ying, W., Ng, M. C. Y. and Chan, J. C. N. (2009) Phenotype-genotype interactions on renal function in type 2 diabetes: an analysis using structural equation modeling. Diabetologia, 52 (8), 1543-1553. https://doi.org//10.1007/s00125-009-1400-1
24. Lee, S. Y., Song, X. Y., Cai, J. H., So, W. Y., Ma, R. C. W. and Chan, J. C. N. (2009) Non-linear structural equation models with correlated continuous and discrete data. British Journal of Mathematical and Statistical Psychology, 62 (2), 327-347. https://doi.org//10.1348/000711008X292343
25. Cai, J. H., Song, X. Y. and Lee, S. Y. (2008) Bayesian analysis of nonlinear structural equation models with mixed continuous, ordered and unordered categorical, and nonignorable missing data. Statistics and Its Interface, 1 (1), 99-114. https://doi.org//10.4310/sii.2008.v1.n1.a9
译著
蔡敬衡,潘俊豪,周影辉。《结构方程模型:贝叶斯方法》(译著)。 高等教育出版社,2011。 http://www.hepmall.com.cn/index.php/product-10703.html
专利、著作版权等
声明:本站专家信息来源于各高校官网。