Biostatistics Subcore

Biostatistics Subcore

The Biostatistics Sub Core provides a wide variety of services to UW NORC Affiliate Investigators in all aspects of statistical analysis and advice on database development. We provide no cost support in the development of grant applications including sample size determination, study design and statistical analysis plans. Our core also provides fee for service for NORC AI’s who prefer to have a statistician provide advice on database development, including creating data dictionaries and standardized methods for QC/QA, how to best enter data and on variable naming.  We also offer fee for service statistical analysis for investigators who prefer to have a statistician conduct their analysis or to work with a statistician for guidance and interpretation when conducting their own analysis. Finally, we offer fee for service support for the use of complex statistical methods; both identifying complex methods when the data requires such and developing new methods when no available methods are available. Our specific expertise includes statistical analysis of metabolomics data, integrative data analysis (eg. the analysis of two or more types of high dimensional data such as microbiome and metabolomics) and the analysis of nonlinear time-varying data including the use of differential equations models in combination with formal statistical methods.

Contact Biostatistics Sub-Core Director Sarah Holte, Ph.D.(sholte@fredhutch.org) with questions or complete a request for services. Our fee structure is here.

Grant Preparation

  • Study design
  • Sample size and power and/or precision calculations
  • Statistical analysis plans

Advice on database development

  • Advise on development of data dictionary
  • Advise on database structure
  • Advise on variable naming
  • Advise on variable QC/QA
  • Advise on best practices for consistency on data entry

Standard Statistical Analysis

  • Parametric and non-parametric methods for comparing means by groups
  • Linear, logistic and other forms of regression analysis
  • Repeated measures or clustered data analysis approaches
  • Analysis of Variance ANOVA

Complex Statistical Analysis

  • Statistical analysis of proteomics data
  • Statistical analysis of metabolomics data
  • Statistical analysis of microbiome data
  • Integrative analysis of two or more types of high dimensional data
  • Statistical analysis and modeling on nonlinear time series data.

Epidemiology

Members of the NORC Biostatistics Subcore

Sarah Holte, PhD, MA
Sarah Holte, PhD, MA

Subcore Director
Contact: sholte@fredhutch.org

Amanda Fretts, PhD
Amanda Fretts, PhD

Epidemiology
Contact: amfretts@uw.edu

Ali Shojaie, PhD, MS
Ali Shojaie, PhD, MS

Metabolomics and Integrative Data Analysis
Contact: ashojaie@uw.edu

Yuzheng Zhang
Yuzheng Zhang

Biostatistician