Holck Consulting
How we help
Survey design and analysis (weights, strata, clustering; complex-variance estimation).
Regression modeling (GLM/GLMM, GEE), risk adjustment, and small-area estimation strategy support.
Hypothesis testing, confidence intervals, power/sample size, and sensitivity analyses.
Non-parametric statistical analyses.
Turn results into clear tables/figures for technical and non-technical audiences.
Tools we commonly use
- R (survey, srvyr, tidyverse RMarkdown, etc.)
- Python (pandas, numpy, sqlalchemy)
- SQL-backed analytics (MariaDB/MySQ, Postgresql, SQLite)
- Visualization and reporting (ggplot2, Shiny dashboards)