基本信息

张维  博士生导师  

中国科学院数学与系统科学研究院副研究员

研究方向:生物医学统计、数理统计

电子邮件:zhangwei@amss.ac.cn

通信地址:中关村东路55号思源楼210 

电话:010-82541619

邮编:100190

研究兴趣

分组检测、临床试验、统计遗传学及诊断医学中的统计方法研究

教育经历

  • 2011 - 2016中国科学院数学与系统科学研究院,博士

  • 2007 - 2011,厦门大学数学科学学院,学士

工作经历

  • 2022 - 至今,中国科学院数学与系统科学研究院,副研究员
  • 2020  - 2022中国科学院数学与系统科学研究院,优青副研究员
  • 2017  - 2020,美国国家卫生研究院,博士后
  • 2016  - 2017,美国耶鲁大学,博士后

奖励及荣誉

  • 国家高层次人才计划青年项目2021
  • 中科院“****”B类,2019
  • 中科院院长奖优秀奖,2016
  • 京津地区青年概率统计会议宝洁优秀论文奖,2015

部分期刊论文

(# Co-first author)

Zhang W, Liu A, Zhang Z, Chen G, Li Q. An adaptive direction-assisted test for microbiome compositional data. Bioinformatics. (With revision)

Zhang W, Zhang Z, Troendle J, Liu A. Data-adaptive efficient estimation strategies for biomarker studies embedded in randomized trials. Annals of Applied Statistics. In press.

Zhang W, Wu CO, Ma X, Tian X, Li Q. Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies. Journal of Applied Statistics, 2021. DOI: https://doi.org/10.1080/02664763.2021.1937581.

Xiong W, Ding J, Zhang W, Liu A, Li Q. Nested group testing procedure. Communications in Mathematics and Statistics. In press. 

Chiu CY, Wang S, Zhang B, Luo Y, Simpson C, Zhang W, Wilson AF, Bailey-Wilson JE, Agron E, Chew EY, Xiong M, Fan R. Gene-level association analysis of ordinal traits with functional ordinal logistic regressions. Genetic Epidemiology, 2022. DOI: http://doi.org/10.1002/gepi.22451.

Zhang W, Zhang Z, Liu A, McShane LM. Group testing can improve the cost-efficiency of prospective-retrospective biomarker studies. BMC Medical Research Methodology, 2021, 21: 55.

Wu M, Zhang X, Zhang W, Zhang X, Liu A. Error-corrected estimation of a diagnostic accuracy index of a biomarker against a continuous gold standard. Statistics in Medicine, 2021, 40: 1034-1058.

Sadhukhan T, Bagh MB, Appu AP, Mondal A, Zhang W, Liu A, Mukherjee AB. In a mouse model of INCL reduced S-palmitoylation of cytosolic thioesterase APT1 contributes to microglia proliferation and neuroinflammation. Journal of Inherited Metabolic Disease, 2021, 44: 1051-1069.

Zhang W, Liu A, Zhang Z, Halabi S. Best (but oft-forgotten) practices: sample size and power calculation for a dietary intervention trial with episodically consumed foods. American Journal of Clinical Nutrition, 2020, 112: 920-925.

Zhang W, Liu A, Li Q, Albert PS. Nonparametric estimation of distributions and diagnostic accuracy based on group-tested results with differential misclassification. Biometrics, 2020, 76: 1147-1156.

Zhang W, Tang LL, Li Q, Liu A, Lee MLT. Order-restricted inference for clustered ROC data with application to fingerprint matching accuracy. Biometrics, 2020, 76: 863-873.

Zhang W, Liu A, Li Q, Albert PS. Incorporating retesting outcomes for estimation of disease prevalence. Statistics in Medicine, 2020, 39: 687-697.

Wang L, Zhang W, Li Q. AssocTests: An R package for genetic association studies. Journal of Statistical Software, 2020, 94: 1-26.

Jiang T, Lu Y, Duan, H, Zhang W, Liu A. A model-based approach for clustering of multivariate semicontinuous data with application to dietary pattern analysis and intervention. Statistics in Medicine, 2020, 39:16-25.

Zhang W, Liu A, Tang LL, Li Q. A clustered-adjusted rank-based test for a clinical trial concerning multiple endpoints with application to dietary intervention assessment. Biometrics, 2019, 75: 821-830.

Zhang W, Chen Z, Liu A, Buck Louis GM. A weighted kernel machine regression approach to environmental pollutants and human infertility. Statistics in Medicine, 2019, 38: 809-827.

Hu JY, Zhang W, Li XM, Pan DD, Li Q. Efficient estimation of disease odds ratios for follow-up genetic association studies. Statistical Methods in Medical Research, 2019, 28:1927-1941.

Li J, Zhang W, Zhang S, Li Q. A theoretic study of a distance-based regression model. Science China Mathematics, 2019, 62: 979-998.

Zhang W, Liu A, Albert PS, Schisterman EF, Mills JL. A pooling strategy to effectively use genotype data in quantitative traits genome-wide association studies. Statistics in Medicine, 2018, 37: 4083-4095.

Ding M, Chavarro J, Olsen S, Ley S, Lin Y, Ley SH, Bao W, Rawal S, Grunte LG, Thuesen A, Mills JL, Yeung E, Hinkle S, Zhang W, Vaag A, Liu A, Hu F, Zhang C. Genetic variants of gestational diabetes mellitus: a study of 112 SNPs among 8722 women in two independent populations. Diabetologia, 2018, 61: 1758-1768.

Giannakou A, Sicko RJ, Kay DM, Zhang W, Romitti PA, Caggana M, Shaw GM, Jelliffe-Pawlowski LL, Mills JL. Copy number variants in hypoplastic right heart syndrome. American Journal of Medical Genetics Part A, 2018 176: 2760-2767.

Zhang W, Yang L, Tang LL, Liu A, Mills JL, Sun Y, Li Q. GATE: an efficient procedure in study of pleiotropic genetic association. BMC genomics, 2017, 18: 552.

Zhu J, Zhang W, Li Q, Li Z. Testing association between mixed type outcomes and covariates jointly by the use of a latent variable. Scientific Reports, 2017, 7: 8006.

Giannakou A, Sicko RJ, Zhang W, Romitti PA, Browne ML, Caggana M, Brody LC, Jelliffe-Pawlowski LL, Shaw GM, Kay DM, Mills JL. Copy Number Variants in Ebstein Anomaly. PLoS One, 2017, 12: e0188168.

Zhang W, Li Q. Incorporating Hardy-Weinberg equilibrium law to enhance the association strength for ordinal trait genetic study. Annals of Human Genetics, 2016, 80: 102-112.

Zhang W, Li H, Li Z, Li Q. A two-phase procedure for non-normal quantitative trait genetic association study. BMC Bioinformatics, 2016, 17: 52.

Hu X#, Zhang W#, Zhang S, Ma S, Li Q. Group-combined p-values with applications to genetic association studies. Bioinformatics, 2016, 32: 2737-2743.

Zheng G#, Zhang W#, Xu J, Li Q, Yuan A, Gastwirth JL. Genetic risks and genetic model specification. Journal of Theoretical Biology, 2016, 403: 68-74.

Tang LL, Zhang W, Li Q, Ye X, Chan L. Least squares regression methods for clustered ROC data with discrete covariates. Biometrical Journal, 2016, 58: 747-765.

Zhang W, Li Q. Nonparametric risk and nonparametric odds in quantitative genetic association studies. Scientific Reports, 2015, 5: 12105.

Zhang W, Zhang Z, Li X, Li Q. Fitting proportional odds model to case-control data with incorporating Hardy-Weinberg equilibrium. Scientific Reports, 2015, 5:  17286.

Zheng G, Zhang W, Li Q, Xu J, Yuan A, Gastwirth JL. Analysis of genetic association studies incorporating prior information of genetic models. Journal of Agricultural, Biological, and Environmental Statistics, 2015, 20: 173-191.

Pan D, Li ZB, Zhang W, Li, Q. The review of genome-wide association studies. Chinese Journal of Applied Probability and Statistics, 2014, 30: 84-103.