Statistical Consulting

Our Statistical Consulting service helps you design rigorous studies, analyze complex data, and translate results into clear, defensible decisions. We combine sound methodology with practical business focus, so you get insights you can trust and act on.

From experiment design and survey strategy to predictive modeling and uncertainty quantification, we tailor methods to your questions, constraints, and timelines—then communicate findings in plain language with transparent assumptions.

Our capabilities

• Study design: Power analysis, sampling plans, and experimental design (A/B, factorial, DOE)
• Data preparation: Cleaning, imputation, outlier handling, and reproducible pipelines
• Inference: Hypothesis testing, confidence intervals, and effect size estimation
• Modeling: Regression, GLMs, mixed models, time series, survival analysis
• Prediction: Cross-validation, feature selection, and model diagnostics
• Causality: Randomized trials, matching, difference-in-differences, IV methods
• Visualization: Dashboards and charts that make patterns and uncertainty clear
• Reporting: Executive summaries, technical appendices, and reproducible notebooks

Technologies we use

• Languages: Python (Pandas, Statsmodels, SciPy), R (tidyverse, lme4, survival)
• Visualization: Matplotlib, Seaborn, Plotly, ggplot2, Power BI
• Reproducibility: Jupyter, Quarto/R Markdown, Git

Publications

1. Active shooters and gun-free zones: emotional versus legal motivations
2. Evaluating Disparities in Pathways to Breast Reconstruction
3. The Association Between Metabolic Derangement and Wound Complications in Elective Plastic Surgery
4. Predicting Academic Performance during Plastic Surgery Residency: Can Step 2 Scores Reliably Replace Step 1?
5. Efficacy of Prophylactic Post-Operative Antibiotics in Tissue Expander-Based Breast Reconstruction: A Propensity Score-Matched Analysis
6. ASO Visual Abstract: Air or Saline? A Propensity Score-Matched Analysis on the Effect of Tissue Expander Fill on Complications in Immediate Breast Reconstruction
7. Defining the Value of Breast Reconstruction Surgeons: Quantifying Clinical Encounter and Operative Volume at an Academic Center
8. Health plan enrollment and mortality in the Medicare program
9. Analysing user-reported data for enhancement of SmokefreeTXT: a national text message smoking cessation intervention
10. Tracking Complications and Unplanned Healthcare Utilization in Aesthetic Surgery: An Analysis of 214,504 Patients Using the TOPS Database
11. Mapping Patient Encounters in Breast Cancer Care: An Analysis of 8800 Clinical Encounters Among Patients Undergoing Mastectomy
12. The Influence of Age on Complications after Correction of Congenital Breast Deformities: A National Analysis of the Pediatric and Adult NSQIP Datasets
13. Air or Saline? A Propensity Score-Matched Analysis on the Effect of Tissue Expander Fill on Complications in Immediate Breast Reconstruction
14. Defining Predictors of Future Academic Productivity in Plastic Surgery Residency