ICMIC 2012 logo

In-vivo Cellular and Molecular Imaging Center (ICMIC)




Biostatistics Resource

The use of appropriate biostatistical tools is an essential requirement for comprehensive study planning and correct interpretation of data.  This resource will provide statistical expertise, guidance, and analyses to the JHU ICMIC investigators in designing their research studies and interpreting their data. 
Our specific aims are: (i) To provide comprehensive biostatistics and bioinformatics consultation to all projects in the JHU ICMIC, assisting in design, collection, visualization, analysis, and interpretation of data arising in the course of research activities.  (ii) To provide the infrastructural support for quality assurance, data storage and processing, and all informatics activities necessary to successfully perform Aim 1 successfully.  (iii) To provide annual analyses of all compiled data to discover new associations that can stimulate new testable hypothesis.
The Biostatistics Resource will be housed in the Division of Oncology Biostatistics at the Sidney Kimmel Comprehensive Cancer Center and the Department of Oncology.  The resource members will have an integral role in the scientific development, study design, execution, and analysis of all research data.  Resource investigators have extensive and complementary experiences in biostatistics and bioinformatics methodological development and their applications.  Members of the Biostatistics Resource are committed to taking a direct interest in the substantive issues being investigated, to participating in regular project and program meetings, and to providing rigorous and innovative input on all quantitative matters arising in the projects.  By contributing to multiple projects, this resource will also be in a position to promote interdisciplinary interactions among projects.
This resource will provide the requisite infrastructure and act as a central resource for JHU ICMIC investigators to obtain expertise and assistance for biostatistical analyses.  The resource director will provide leadership and oversight and will form part of the Oversight Committee that will meet at least on a monthly basis, and more frequently if necessary, with the JHU ICMIC Director to discuss and allocate use of the resource.



Skills and Expertise

Peng Huang, Ph.D., Resource Director: Dr. Huang has extensive experiences in NIH-funded multi-center clinical trials and lab experiments, particularly when multiple endpoints are analyzed jointly. She serves on multiple NIH review panels, Clinical Trial and Consortium Grant Review Panel for Department of Defense Congressionally Directed Medical Research Program (CDMRP) and Neurofibromatosis Research Program (NFRP), and NIH Data Safety and Monitory Committees since 2002. Dr. Huang received the Shewell Award from the American Society for Quality Control for her minimum aberration split-plot design which was adopted by the widely used SAS software.  She has received NIH research grant awards as a principal investigator in the development of multivariate statistical tests. At Johns Hopkins University, Dr. Huang is the leading faculty biostatistician/biostatistics core director of multiple pre-clinical and clinical cancer studies in imaging, radiology, radiopharmaceutical therapy, drug dosimetry, toxicity and efficacy. Dr. Huang collaborates closely with oncologists in breast cancer, prostate cancer, lung cancer, and radiation oncologists. Dr. Huang's statistical research includes the global assessment of treatment effect when multiple endpoints are evaluated concurrently. This includes but not limited to: optimal experiment and clinical trial designs with multiple endpoints, sequential (multi-stage, adaptive) clinical trial design and monitory, stochastic modeling of multi-dimensional data, interim and final data analyses. Dr. Huang will direct and oversee the Biostatistics Resource.


Ms. Zhe Zhang: Ms. Zhang is a senior biostatistician in the Biostatistics Division of the SKCCC.  She has more than 10 years of biostatistical research experience since receiving her Master’s degree in Biostatistics.  Ms. Zhang has been actively involved in collaborating with JHU ICMIC investigators on clinical trial designs, analysis of clinical trial data, genetic and epigenetic datasets for both grants and local protocols,  and development of methods and results sections for manuscripts.  She utilizes standard and non-standard biostatistical and data management methods for the production of various statistical analyses.  She is highly proficient in major statistical software packages (e.g. SAS and R).  At Johns Hopkins, Ms. Zhang works closely with Dr. Huang in the breast cancer SPORE, the liver cancer SPORE, and several other cancer research and cancer imaging projects.  She assistS Dr. Huang in data quality assurance, SAS and R programming, statistical modeling and data analyses, generating analysis reports, interpretation of statistical findings, and manuscript preparation.