Biostatistics Shared Resource
About the core
The Biostatistics Shared Resource for Yale Cancer Center (YCC) is a highly interactive team of cancer biostatisticians who work collaboratively with basic, clinical, translational and population science researchers of the entire YCC to advance the frontiers of cancer medicine and public health.
The services encompass biostatistics support to YCC members on study design, analysis, and grant and manuscript preparation. We aim to provide high-quality, cutting-edge and custom data analyses, as well as consultation and training/education for high throughput genomics, transcriptomics, proteomics, and other high-throughput data sets.
The best mechanism for engaging the Biostatistics Shared Resource is through percent effort inclusion on grants. Absent this, there are limitations on the number of hours that can be dedicated to any individual project.
Available to Yale researchers & external researchers
Questions or comments?
For comments and suggestions on how to better support your studies, please do not hesitate to email us.
Areas of expertise
Clinical trials
- Phase I, II and III trials
- Pilot and feasibility studies
- Platform, basket, and umbrella trials
Observational and population-based studies
- Causal inference
- Longitudinal data analysis
- Study design
Genomics
- RNAseq (bulk, single-cell, spatial)
- GWAS and germline sequencing
- Epigenetics
- Microbiome/metagenomics
- Proteomics
AI and machine learning
Services
Generic support
- Formulation of research aims and development of plans for data collection and analysis
- Study design, including sample size/power calculations and analytic plan
- Development of statistical sections for NIH and foundation grants
- Perform data analyses required for abstracts and manuscripts
- Interpretation and presentation of statistical findings
Clinical trial support
- Investigator-initiated clinical research trials with translational component
- Investigator-initiated clinical trials
- Prospective IRB-approved translational trials in a protocol setting
- Cooperative group multi-center trials
- Industry-sponsored trials
- Retrospective studies (laboratory-based or otherwise) with clinical correlations
Bioinformatics support
- Array-based platforms, including genotyping arrays, gene expression arrays, copy number arrays, methylation arrays, and ChIP-on-chip arrays
- Analysis of next-generation sequencing data
Rates
User fees
• Unfunded projects: 16 hours total per investigator per year
• Usage beyond the free limit will be charged on a fee-per-hour basis ($125 per hour)
Contacts
