Sound statistical design is the foundation of reproducible, rigorous research. Our team offers collaborative support from the earliest stages of study design through analysis, interpretation, and reporting — helping researchers make informed, defensible choices with their data.
What We Support
We specialize in applied statistics for research and can assist with:
Study & Trial Design: Support with experimental design, observational studies, cluster trials, and data collection planning
Power & Sample Size Calculations: Tailored simulations or analytical methods for both simple and complex designs
Modeling & Inference: Linear models, logistic regression, time-to-event analysis, and mixed/hierarchical models
Network Analysis & Dependency Structures: Modeling social, clinical, or biological networks and interdependence
Biostatistics & Clinical Research: Support for protocol development, stepped wedge designs, pre/post analyses, and handling small sample constraints
Choosing the Right Method: Parametric vs. non-parametric approaches, transformations, diagnostics, and model validation
Code Support in R: Help writing clean, reproducible R scripts and generating publication-ready output
Interpretation & Communication: Translating statistical results into clear, context-appropriate language for collaborators, manuscripts, and presentations
Who We Work With
Our statistical clients represent a wide spectrum of disciplines and study designs:
Clinical Trials & Public Health: Trial design, repeated-measures models, health outcomes, and intervention evaluation
Life & Biomedical Sciences: Differential expression, longitudinal studies, biomarker analysis, mixed models for lab-based experiments
Psychology, Education & Social Science: Multilevel models, survey design, scale construction, and latent constructs
Policy & Humanities Research: Designing and analyzing archival studies, surveys, and document corpora with inferential rigor
Environmental & Earth Sciences: Spatial statistics, time series, climate variability, and ecological modeling
Ready to Get Started?
Whether you’re selecting a test, building a model, or writing a grant, we’re here to ensure your statistical approach is sound, reproducible, and aligned with your research questions.