It’s increasingly common to measure numerous variables simultaneously and obtain large datasets. However, this type of data isn’t easy to understand or analyze. You could select the most relevant variables and analyze them separately—but which ones? You could interpret each variable independently, but this won’t provide a comprehensive overview of your study. If you’re facing any of these challenges, what you need is multivariate analysis.
We analyze your dataset and provide the comprehensive perspective you need through multivariate techniques. We perform ordination analysis, classification analysis, multiple regression, and more.
From data exploration to predictive modeling, we provide comprehensive solutions for your research. Contact us to learn more about our services!
If you need to understand how your data clusters based on multiple variables, or if you want to summarize your dataset for a global interpretation, we perform the most suitable ordination analysis for each case. Simplify your data, understand the big picture, and uncover underlying patterns.
You have a set of features associated with your samples and now need to understand how they should be classified, or whether your cases can be grouped according to a pre-existing classification. In such cases, you need classification analysis (supervised or unsupervised). We apply these techniques for you, regardless of your dataset’s size.
If you need to determine the effect of multiple factors and covariates on a response variable, you need to perform a regression analysis. We conduct this analysis for you: we’ll analyze your data to fit the best model, examine the residuals, and deliver a robust and understandable interpretation.
In many experimental designs, the follow-up time is not the same for all cases. For this type of data, the most appropriate analysis is survival analysis. We implement these models for you, enabling you to understand how a response evolves over time.
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