陈家清-亚博888

姓名: 陈家清

性别: 男

出生年月:1972.11

职称/职务: 教授/统计学系主任

学位/学历: 博士/研究生

所在系: 统计学系

亚博888的联系方式:jqchenwhut@163.com

个人简历

(一)教育经历

2009～2011 武汉理工大学，管理科学与工程，博士后

2003～2006 华中科技大学数学与统计学院，概率论与数理统计，博士

2000～2003 华中科技大学数学与统计学院，概率论与数理统计，硕士

(二)工作经历

2016至今 武汉理工大学理学院，统计学系，教授，博士生导师

2008～2016 武汉理工大学理学院，统计学系，副教授，硕士生导师

2006～2008 武汉理工大学理学院，统计学系，讲师

2012.02～2013.02 university of south florida公共卫生学院流行病与生物统计系访问学者

研究方向

生物统计、流行病与卫生统计、统计学习、贝叶斯统计

主要教学成果

1. 主编出版《随机过程基础》(第二版)统计专业教材，武汉理工大学出版社，2022.

2. 主编出版《应用随机过程》研究生公共课教材，武汉理工大学出版社，2014.

3. 主编出版《应用数理统计》研究生公共课教材，武汉理工大学出版社，2013.

主要科研项目

1.国家自然科学面上基金项目(81671633):面向多特征纵向-生存数据建模及bfh推断研究，2017/01-2020/12,主持

2.横向课题项目:复杂纵向磁共振成像数据统计建模与分析技术研究，2022/08-2027/08，主持

3.中国科学院国家重点实验室开放基金项目:基于统计学习的大脑状态的静息态功能磁共振成像研究，2023/01-2025/12，主持

4.湖北省自然科学基金面上项目(2014cfb863):混合效应联合偏斜分布模型的hiv动力学及免疫抑制研究，2014/01-2015/12，主持

5.湖北省统计局重点科研项目(20132s0201):污染数据情况清形下刻度分布族参数的经验贝叶斯检验问题研究，2013/05-2014/04，主持

主要学术论文

[1] chen, j. et al. semiparametric multivariate joint model for skewed-longitudinal and survival data: a bayesian approach. statistics in medicine, 2023, 42: 4972-4989.

[2] chen, j. et al. quantile adaptive sufficient variable screening by controlling false discovery. entropy, 2023, 25(3): article 524.

[3] chen, j. et al. empirical bayes decision for a generalized exponential distribution with contaminated data. symmetry-basel, 2023, 15(2): article 511.

[4] chen, j. et al. bayesian change-point joint models for multivariate longitudinal and time-to-event data. statistics in biopharmaceutical research, 2022, 14(2): 227-241.

[5] chen, j. et al. multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data. journal of applied statistics, 2022, 49(12): 3063-3089.

[6] chen, j. et al. bayesian joint modeling of multivariate longitudinal and survival data with an application to diabetes study. frontiers in big data, 2022, 5: article 812725.

[7] chen, j. et al. double penalized expectile regression for linear mixed effects model. symmetry-basel, 2022, 14: article 1538.

[8] chen, j. et al. the estimation of bent line expectile regression model based on a smoothing technique, symmetry-basel, 2022, 14: article 1320.

[9] chen, j. et al. impairment of a nik-six feedback axis results in dysregulation of intestinal immune homeostasis and promotes early-onset fatal spontaneous colitis. iranian journal of immunology, 2022, 19(3): 263-277.

[10] chen, j. et al. bayesian mlirt-based joint models for multivariate longitudinal and survival data with multiple features. journal of medical statistics and informatics, 2021, 9: article 4.

[11] chen, j. et al. supervised functional data discriminant analysis for hyperspectral image classification, ieee transactions on geoscience and remote sensing, 2020, 58(2): 841-851.

[12] chen, j. et al. bayesian joint analysis of heterogeneous- and skewed-longitudinal data and a binary outcome, with application to aids clinical studies. statistical methods in medical research，2018, 27(10): 2946–2963.

[13] chen, j. et al. joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to aids clinical studies. lifetime data analysis, 2018, 24: 699–718.

[14] chen, j. et al. bayesian quantile regression for nonlinear mixed-effects joint models for longitudinal data in presence of mismeasured covariate errors. journal of biopharmaceutical statistics. 2017, 27(5): 741–755.

[15] chen, j. et al. hierarchical mixture models for longitudinal immunologic data with heterogeneity, non-normality, and missingness. statistical methods in medical research，2017，26(1): 223-247.

[16] chen, j. et al. simultaneous bayesian inference on a finite mixture of mixed-effects tobit joint models for longitudinal data with multiple features. statistics and its interface, 2017, 10:557–573.

[17] chen, j. et al. bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features，statistics in medicine，2016, 35: 5666-5685.

[18] chen, j. et al. bayesian approach to nonlinear mixed-effects quantile regression models for longitudinal data with non-normality and left-censoring. journal of advanced statistics, 2016, 3(1): 109-121.

[19] chen, j. et al. a bayesian mixture of semiparametric mixed-effects joint models for skewed-longitudinal and time-to-event data，statistics in medicine，2015，34(20): 2820-2843.

主要学术兼职

中国现场统计研究会理事;全国工业统计教学研究会数字经济与区块链技术协会常务理事;中国现场统计研究会资源与环境统计分会常务理事;中国现场统计研究会经济与金融统计分会常务理事;中国现场统计研究会大数据统计分会常务理事;中国商业统计学会理事等。