Regression analysis relates two or more variables by a functional hyphotized relations that express an explicative and / or predictive purpuose.

We can offer our advice in the solution of problems requiring developing and testing of::

• Classical and multivariate linear regession;
• Generalized linear models (GLM): logistic, binomial, possion, negative binomial, gamma, inverse gaussian, tweedie, loglinear and similar families..
• Mixed and random effects models.
• Generalized estimating equations (GEE).
• Structural equation models(LISREL).
• Survival Analysis: Cox regression and parametric model for time to event data..

We can also help you in the correct interpretation of fitting indices, outlier analysis, and model selection.