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Biostatistics, Analytics and Bioinformatics

Providing a wide range of research assistance, the Biostatistics, Analytics and Bioinformatics team offers comprehensive services, including:

Service Highlights

  • No-cost initial consultation services
  • Access to highly-trained specialists in biostatistics and bioinformatics with a broad range of research expertise
  • Emphasis on long-term collaborations with Rogel Cancer Center members
  • Development of 18 investigator-initiated trials per year
  • Dedicated faculty and staff effort on 60+ Rogel Cancer Center member grants per year
  • Faculty-led educational sessions and training workshops
  • Advice with database issues
  • Bioinformatics data analysis
  • Design of clinical trials
  • Design of laboratory experiments
  • Design of observational studies
  • Development of statistical methods
  • Formulation of research questions
  • Grant application assistance
  • Instruction in statistical methods
  • Publication of research findings
  • Development and review of protocols
  • Statistical computing
  • Statistical data analysis

Analytical Expertise of Team Members

With comprehensive expertise in specific types of cancer and extensive experience in focused areas including biomarkers, personalized medicine, health disparities, quality of life and socio-physiological effects of treatment, our team of statistical and bioinformatics experts assist with the analysis of the following:

For more information about available services of our Biostatistics, Analytics and Bioinformatics Shared Resource or to request assistance, please contact our team:

Director: Jeremy Taylor, Ph.D.

Assistant: Lauren Detzler

Location: Washington Heights, M2030-26 SPH II
Phone: 615-0420

Or view the Center for Cancer Biostatistics website

  • Biomarker studies
  • Clinical imaging technologies
  • Clinical studies
  • Epidemiological data
  • Genomic data
  • Health services
  • In-vitro and in-vivo analysis
  • Longitudinal data
  • Missing data problems
  • Outcomes and registry data
  • Proteomic data
  • Survival data
  • Translational data

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