Biostatistics Shared Resource

The Biostatistics Shared Resource provides statistical consultation and collaboration on the design, conduct, analysis and interpretation of clinical investigators' research activities at Winship Cancer Institute of Emory University.

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 and bioinformatics 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.

Photo of  Jeffrey Switchenko, PhD, MS
Jeffrey Switchenko, PhD, MS

Jeffrey Switchenko, PhD, MS

Assistant 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.

Photo of  Yuan Liu, PhD, MS
Yuan Liu, PhD, MS

Yuan Liu, PhD, MS

Assistant Research 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.

Photo of  Subir Goyal, PhD, MPH, MBBS
Subir Goyal, PhD, MPH, MBBS

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.

Photo of  Manali Rupji, MS
Manali Rupji, MS

Manali Rupji, MS

Biostatistician and Bioinformatics Analyst, Biostatistics Shared Resource
Winship Cancer Institute of Emory University

Ms. Rupji's quantitative areas of expertise include genomic clustering analysis, survival analysis, genomic data analysis for small sample size, exploratory data analysis, supervised principle component analysis, and sample size calculations.

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