Overview
The purpose of the Biostatistics Shared Resource is to provide a comprehensive, multi-disciplinary collaboration in the design and analysis of clinical, preclinical and epidemiologic investigations as well as experiments that involve data from high throughput technologies.
Biostatistics support is critical to most all of the peer-reviewed funded investigators at Winship, and both fields play a fundamental role in pre- and post-funding award stages of cancer research studies.
Our shared resource is recognized as an essential element of research infrastructure at Winship by way of collaboration and consultation with investigators in the design, conduct and analysis of cancer-related clinical, preclinical and epidemiological investigations. These collaborations lead to the application and development of innovative statistical methodology and summarization of results to address cancer research.
Capabilities and Services
Services include:
- Provide consultation and collaboration regarding study design (e.g., validity of design, feasibility of meeting objectives, sample size, projection of study duration).
- Make recommendations concerning key infrastructure, data management and computer systems support.
- Conduct data analysis, prepare reports and assist with manuscript writing.
- Develop novel biostatistics methods.
- Review proposals for clinical cancer-related studies within the context of the clinical trials review committee.
Collaborations within Winship and in the larger university community are supported by collaborative grants.
SAS® macros
Our SAS® macros can be used throughout the entire analysis process from start to finish, including descriptive statistics, bivariate statistics, unadjusted regression, and multiple regression. The macros generate professional looking analysis reports with the goal of condensing the relevant information from a statistical analysis into an understandable format for investigators.
Select below to download the desired SAS® macros available in ZIP file with text file instructions.
DESCRIPTIVE | FINDCUT | LINREG SEL | LOGREG SEL |
MPLOT | MULTIPLE GENMOD | MULTIPLE LINREG | MULTIPLE LOGREG |
MULTIPLE PHREG | PHREG SEL | UNI CAT | UNI GENMOD |
UNI LOGREG | UNI NUM | UNI PHREG |
Software
We offer software for various phase I clinical trial designs including escalation with overdose control, isotonic design using normalized equivalent toxicity score and escalation with overdose control using normalized equivalent toxicity score.
Select below to download the EWOC software available in ZIP file with text file instructions.
Application Tools
We also offer biostatistics application tools developed for cancer research and intended to equip investigators with tools to enable efficient data mining that will help in formulating a specific research question to then engage resources and others on how best to address it.
Service Request
For assistance, please fill out our request form on the PPMS service request system. View instructions for requesting a new account and for requesting/starting new project.
Contact Program Coordinator
Felicia West, Program Coordinator
Biostatistics Shared Resource
Winship Cancer Institute of Emory University
718 Gatewood Rd. NE, Atlanta, GA 30322
Phone: (404) 778-2249
Fax: (404) 778-5016
Email: felicia.west@emory.edu
Publication Acknowledgement Policy
The National Cancer Institute requires that publications acknowledge the Winship Cancer Institute Cancer Center Support Grant (CCSG), and it is tracking compliance. If a Winship Cancer Institute CCSG-supported Shared Resource provided data, designed the study, performed analyses, provided results used in your publication, and/or provided any systems or services that were used for the work that resulted in your publication, please include the following statement in the acknowledgment section of your publication(s):
Research reported in this publication was supported in part by the Biostatistics shared resource of Winship Cancer Institute of Emory University and NIH/NCI under award number P30CA138292. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Shared Resource Team

Jeffrey Switchenko, PhD, MS
- Scientific Director, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Dr. Switchenko collaborates on clinical and genomic study design and analysis, and seeks to apply Bayesian methodology to a wide variety of cancer research projects ranging from cancer prevention and control to genomic studies.

Yuan Liu, PhD, MS
- Research Associate Professor, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Dr. Liu translates state-of-the-art statistical techniques to address the scientific questions raised in clinical practices by integrating her expertise and innovation through collaborations.

Yichun Cao, MPH
- Biostatistician, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Ms. Cao’s quantitative areas of expertise include regression analysis, survival analysis, propensity score method and image recognition analysis of small molecules and bacteria.

Subir Goyal, PhD, MPH, MBBS
- Biostatistician Senior, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Dr. Goyal's quantitative areas of expertise include regression analysis, mediation analysis, survival models, longitudinal analysis and multilevel modelling.

Angelo Marra, MPH
- Biostatistician, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Mr. Marra has expertise in survival analysis, longitudinal data analysis, propensity score method, regression analysis, and other forms of quantitative and exploratory data analysis.

Ashley McCook, MPH
- Biostatistician, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Ms. McCook's quantitative areas of expertise include exploratory data analysis, regression analysis, survival analysis, longitudinal analysis/ multilevel modeling for clinical trials and observational studies.

Tarrant McPherson, PhD, MA
- Research Assistant Professor, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Dr. McPherson’s research areas include power and sample size calculation, linear mixed models and longitudinal data analysis, measures of inter-rater reliability, analysis of time-to-event data, and design of clinical trials for rare diseases.

Manali Rupji, MS
- Biostatistician Senior, Biostatistics Shared Resource
- Winship Cancer Institute of Emory University
Ms. Rupji's quantitative areas of expertise include clinical and genomic biostatistics analysis as well as exploratory data analysis, survival analysis, regression analysis, clustering, statistical tool development, and sample size/power calculation.