Biostatistics Shared Resource (BSSR)

The Biostatistics Shared Resource provides statistical support across the spectrum of cancer-related research including design of experiments, sample size calculations, randomization, analysis plans, grant preparation, data analysis, manuscript preparation, full clinical trial support, and innovative methods development.

Scheduling, Location, and Hours of Operation

Medical Educational Building, Biostatistics suite | Monday–Friday from 8 a.m.-5 p.m.
For non-cancer related research and/or trainees with quick consultation needs, please email the Biostatistics Consulting Service at
Submit a BSSR iLab request

Services and Technology

The major categories of service provided by BSSR include grant development, collaboration, consultation, clinical trial support, and manuscript preparation.
Grant Development
  • Preliminary data analysis
  • Advice on research hypotheses and specific aims
  • Study design
  • Development of statistical analysis plans
  • Attendance at research program and transdisciplinary team meetings
  • Preparing and implementing grants and research projects
  • Developing databases for data capture and management
  • Mentoring junior investigators in statistical methods and study design
  • Writing, editing and co-authoring manuscripts and presentations
  • Power and sample size calculations
  • Data analysis and interpretation of results
  • Preparing data summaries for abstracts and manuscripts
Clinical Trial Development, Monitoring, and Analysis
  • Comprehensive support for trials from development of the protocol and statistical analysis plan through implementation, monitoring, analysis and preparation of final reports and manuscripts.
  • BSSR faculty are well-versed in trial design (e.g., Bayesian adaptive designs and dose-finding trials) and advocate for trials that maximize efficiency while addressing the trial’s objectives, patient protection and confidentiality, and ethical considerations.
Manuscript Preparation
  • Data analysis
  • Preparation of tables, figures and text for Methods, Results, and Discussion sections
  • Help interpreting the results
  • Review of quantitative/statistical aspects of a manuscript prior to submission and for any necessary revisions
Equipment and Technology
  • Linux operating system environment with a variety of statistical software
  • MCW Research Computing Center
    • 70 computational nodes
    • 3,360 processor cores
    • 29.3 TB of memory
    • 32 graphical processing units
    • Each computer node includes a standardized operating system image, set of compilers, math libraries, and system software. 



Paul Auer, PhD

Director, Biostatistics Shared Resource (BSSR)