Biostatistics and Epidemiology / Statistical Analysis Services

The biostatistics team at the CSCC consists of faculty statisticians, staff biostatisticians, (master’s level and above), statistically trained SAS/SUDAAN/R programmers and graduate students in biostatistics. The biostatistics team provides comprehensive statistical and operational support for research investigations. Biostatistics services include use of various designs across several therapeutic areas as needed. Services include the following:

  • Analytical capabilities
    • Dose-response analysis
    • Repeated measures modeling
    • Meta-analysis
    • Survival analysis
    • Categorical data analysis
    • Longitudinal and trend analysis
    • Statistical genetics
    • Survey data methods
    • Missing data methods including multiple imputation

  • Data services
    • Analysis of administrative claims data (CMS)
    • Analysis of electronic medical record datasets (EMR)
    • Analysis of unique date types (actigraph, activity monitoring, smart cap compliance monitoring, PDA, imaging data, and genetic data)
    • Data quality assessment
    • Production of limited access datasets (LADS) and associated codebooks

  • Development of various study designs
    • Case control studies
    • Case-cohort studies
    • Surveillance studies
    • Patient registries
    • Clinical trials
    • Population-based probability sample survey designs
    • Epidemiology observational cohort designs
    • SMART (sequential multiple assignment randomized trial) designs
    • Adaptive designs
    • Pragmatic trials and Comparative Effectiveness Studies

  • Dissemination and Reporting
    • Collaborative manuscripts
    • Epidemiology trends reports
    • Independent analyses for clinical studies and DSMBs/DMCs

  • Study operations
    • Patient sampling
    • Randomization procedures including minimization
    • Risk based monitoring
    • DSMB reporting
    • Quality control testing of laboratory results
    • Quality control of clinical events classification and adjudication
    • Quality control of data collection procedures