Biostatistics

RCRI provides fully integrated statistical services for clinical study needs. Our goal is to help our clients decide the best statistical strategy for their clinical studies. All RCRI biostatisticians have graduate degrees in statistics, biostatistics or equivalent, a wealth of experience, and diverse backgrounds including positions in industry, academia, and government. We specialize in both frequentist and Bayesian design and analysis.

RCRI can help you:

  • Provide statistical support for pre-clinical studies
  • Determine the optimal statistical strategy for clinical trials
  • Utilize Bayesian adaptive approach to accelerate your trials and decrease cost
  • Justify sample size and randomization schemes
  • Develop analysis plan, data specifications and mock tables/figures/listings
  • Negotiate with the FDA and other regulatory agencies regarding the proposed statistical design and analysis methods
  • Coordinate the DSMB or serve as a liaison to the DSMB
  • Improve efficiency through auto-reporting for annual/interim/final clinical reports
  • Write integrated reports, manuscripts and abstracts
  • Defend trial results to regulatory agencies

Experts in statistical analysis

All RCRI biostatisticians have graduate degrees in statistics, biostatistics or equivalent. In addition to graduate school training, RCRI biostatisticians also have diverse backgrounds including positions in industry, academia and government. Our specialties include:

  • Pre-clinical statistical support
  • Bayesian adaptive design and analysis
  • Hierarchical models on multi-center trials
  • Interim monitoring/analysis and sample size re-estimation
  • Equivalence and non-inferiority trial designs
  • Propensity scores for non-randomized comparisons
  • Correlated multiple objectives/endpoints
  • Non-ignorable missing data
  • Subgroup analysis
  • Cost-effectiveness analysis
  • Reliability analysis and quality control

RCRI biostatisticians will work closely with medical, regulatory, marketing and other business units to ensure statistical project deliverables are met on time and with high quality.