The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas of applied and computational statistics, as well as related subjects. The team can help with both advanced and standard statistical analyses. These include data-sample comparisons (such as pairwise comparisons and ANOVA), linear or nonlinear regression, linear or nonlinear mixed-effects modeling, survival analysis, power and sample size calculations, and biological network analysis. The team collaborates with NCI investigators and helps with experimental design, biological interpretation of statistical analysis results, and publications. Our people have extensive knowledge and experience in statistics, data science, applied mathematics, quantum chemistry, chemical reaction modeling, protein folding and interactions, custom programming, and computational systems biology.
Services include:
- Inferential Statistical Analysis and Hypothesis Testing
- Mixed and Random Effects Hierarchical Modeling Analyses
- Bioinformatics, Microarray, and Proteomics Analyses
- Repeated Measures Analysis, Longitudinal Regression, and Modeling
- Survival, Time-To-Event, and Cox Proportional Hazards Regression Analyses
- Linear and Nonlinear Regression Analyses, Analysis of Variance (ANOVA) and Covariance (ANCOVA)
- Categorical Data Analysis, Loglinear, Logistic, and Poisson Regression Analysis
- Pharmacokinetics, Enzyme Kinetics, and Compartmental Modeling
- Preparation of Manuscripts, Technical Documents, and Reports