Last updated
January 16, 2007

 

 

 

Yuan Ji, Ph.D.


Main CV 


Present Title and Affiliation

 

Associate Professor
Department of Bioinformatics and Computational Biology
Division of Quantitative Sciences
The University of Texas M. D. Anderson Cancer Center
1515 Holcombe Blvd, Unit 237
Room HMB13.334
Houston, TX 77030-4009
Phone: 713-794-4153
Fax: 713-792-4262
Email: yuanji@mdanderson.org

 

Education

 

University of Wisconsin–Madison, Madison, WI
Ph.D. in Statistics, 2003

University of Minnesota, Minneapolis–St Paul, MN
M.S. in Biostatistics, 1999

Fudan University, Shanghai, P.R. China
B.A. in Mathematics, 1997

 

 

Selected Publications

 

Ji Y, Liu P, Li Y, Bekele N. A modified toxicity probability interval method for dose-finding trials . Tech reports Manuscript Software in Excel   Software in R

Ji Y, Li Y, Bekele N. Dose-finding in oncology clinical trials based on toxicity probability intervals. Clinical Trials 4:235-244. 2007 Manuscript Companion software

Ji Y, Li Y, Yin G. Bayesian dose-finding designs for phase I clinical trials. Statistica Sinica 17: 531-547 2007.

Ji Y, Yin G, Tsui K, Kolonin M, Sun J, Arap W, Pasqualini R, Do K. Bayesian mixture models for complex high-dimension count data. Applied Statistics 56: 139-152, 2007. Manuscript Simulation code in R

Ji Y, Tsui K-W, Kim KM. A two-stage empirical Bayes method for identifying differentially expressed genes. Computational Statistics & Data Analysis 50: 3592-3604, 2006.

Yin G, Li Y, Ji Y. Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratio. Biometrics 62:777-87, 2006.

Ji Y, Coombes KR, Zhang J, Wen S, Mitchell J, Pusztai L, Symmans WF, Wang J. RefSeq refinements of UniGene-based gene matching improves the correlation between microarray platforms. Applied Bioinformatics 5(2):89-98, 2006.

Ji Y, Tsui K-W, Kim K. A novel means of using gene clusters in a two-step empirical Bayes method for predicting classes of samples. Bioinformatics 21:1055-61, 2005.

Ji Y, Wu C, Liu P, Coombes KR. Applications of beta-mixture models in bioinformatics. Bioinformatics 21:2118-22, 2005. R code

Zhang J, Ji Y, Zhang L. Extracting three-way gene interactions from microarray data. Bioinformatics 23:2903-2909, 2007.

Ji Y, Lu, Y, Mills, BG. Bayesian models based on test statistics for multiple hypothesis testing problems. Bioinformatics 24:943-949, 2008. R code for simulation based on chi-square statistics

Bekele N, Ji Y, Shen Y, Thall P Monitoring late onset toxicities in phase I trials using predicted risks. Biostatistics, in press, 2007.

Hu B, Ji Y, Tsui K-W. Bayesian estimation of inverse dose-response with multiple agents. Biometrics, in press, 2008

Li Y, Bekele N, Ji Y, Cook J. Dose-schedule finding in phase I/II clinical trials using Bayesian isotonic transformation. Statistics in Medicine, in press, 2008.

Ji Y, Bekele N. Adaptive randomization for multi-arm comparative clinical trials based on joint efficacy/toxicity outcomes. First revision, Biometrics.