We carefully vet and adapt experimental designs to ensure that results are statistically sound and our expert team will assess confounds, sample sizes, and methodology to reach clean, usable conclusions.
Fen delivers basic, advanced and predictive data model interpretation using a wide host of statistical analyses and tests focused on variable reduction.
We analize both parametric and non-parametric data.
Variable Choice and Reduction
Our team analyzes proposed independent variables with a focus on variable reduction. This service identifies confounded variables, overlapping populations, etc. and suggests appropriate measures to be taken ensuring statistical validity.
- Ordinary least squares
- Generalized linear models
- Logistic linear regressions
- Generalized additive models
Advanced Data Analysis
- Mixed Models
Data Transformation and Cleaning
We also offer data transformation and cleaning through processes such as PCA, Factor Analyses, Canonical Correlation Analysis, and others.