Zhengjia "Nelson" Chen
Research Associate Professor
Adjunct Professor
Adjunct or Visiting, Biostatistics and Bioinformatics
- Designs and some critical issues of Phase I, II, and III clinical trials
- Dose-Toxicity Bayesian models in cancer Phase I clinical trials
- A novel toxicity score system to measure the multiple toxicities per patient quantitatively and comprehensively in Phase I clinical trials
- Methods treating disease response as a continuous variable instead of using RECIST in Phase II clinical trials
Contact Information
1518 Clifton Road GCR#342
Atlanta , GA 30322
Phone: (404) 712-8278
Fax: 404-778-5016
Email: zchen38@emory.edu
Areas of Interest
- Bayesian Analysis
- Bioinformatics
- Biomarkers
- Biostatistics
- Cancer Prevention
- Clinical Trials
- HIV/AIDS Prevention
Education
- PhD 2008, University of Southern California, Los Angeles, CA
- MS 2001, University of Southern California, Los Angeles, CA
- MS 1998, Peking University, Beijing, China
- BS 1995, Peking University, Beijing, China
Affiliations & Activities
SOFTWARE DEVELOPED
1. ID-NETS (Isotonic Design using Normalized Equivalence Toxicity Score).
ID-NETS is a novel semi-parametric Phase I design which is developed by integration of original isotonic design and my NETS system. ID-NETS can substantially improve the accuracy of MTD determination and trial efficiency by fully utilizing all toxicities of each patient and treating toxicity response as a quasi-continuous variable instead of a binary indicator of DLT. ID-NETS is also very robust because it only assumes a monotonically increasing dose toxicity relationship instead of any parametric model. ID-NETS is particularly appropriate for clinical trials which have no reliable parametric model for dose toxicity relationship and the target toxicity level is outside the range of 18-33% of DLT. ID-NETS©TM is an interactive and user-friendly statistical software to implement the design ID-NETS in Phase I clinical trials. The standalone version of the software can be downloaded freely from the website: https://winshipbbisr.emory.edu/IDNETS.html
2. EWOC-NETS (Escalation with Overdose Control using Normalized Equivalence Toxicity Score).
EWOC-NETS is a novel Bayesian adaptive design which is a combination of EWOC and my NETS system. EWOC-NETS not only retains all the advantages of EWOC, but also treats toxicity response as a quasi-continuous variable instead of a binary indicator of DLT, fully utilizes all toxicity information, and improves the accuracy of MTD estimation and the efficiency of Phase I trials. EWOC-NETS©TM is an interactive and user-friendly statistical software to implement the design EWOC-NETS in Phase I clinical trials. The standalone version of the software can be downloaded freely from the website: https://winshipbbisr.emory.edu/EWOCNETS.html
3. Standard 3+3 Design simulator
Standard 3+3 with or without dose de-escalation designs are still most widely used in cancer Phase I clinical trials for their simplicity and robustness. In clinical practice and grant applications, it is necessary to provide the operating characteristics of Phase I clinical trials at the planning stage. Therefore I have developed an interactive and user-friendly software called Standard-3+3-design©TM to estimate the operating characteristics of Phase I clinical trials using Standard 3+3 designs. The standalone version of the software is available for free download and the web-based version can be directly used online at the website: https://winshipbbisr.emory.edu/3_3.html
4. Matlab Codes (http://web1.sph.emory.edu/users/zchen38/MATLABCode.pdf ) for the Publication
(Chen Z, Chen X. Exact Calculation of Minimum Sample Size for Estimating a Possion Parameter, Communication in Statistics - Theory and Methods. 2014, In press)
5. Development of an interactive statistical software for calculation of the operating characteristics of Phase I clinical trials using standard 3+3 design. (Using R shiny).
6. Development of an interactive statistical software for Phase I clinical trials using EWOC-NETS design. (Using R shiny).