BioStatistics & Data Modeling

How about finding some hidden knowledge?

Data management is the first gateway in fate of research outcomes and the first step toward capital discoveries in life sciences. The combination of good-old statistics with advanced machine learning algorithms (MLAs) is simply a “jackpot” for development of winning medical strategies.

Standard Statistics

Ordering and management of database, sample size calculation, standard statistical analysis including wide range of non-parametric and parametric tests, regression methods and similar models for meta-analyses.

Big Data

Comprehensive assessment of big datasets, combining the expertise from biomedical science, computer science, information engineering, mathematics and foundamental statistics to analyse complex biological datasets and to interpret and convert it into understandable patterns and profiles.

MLAs And Predictive Models

Advanced data analyses using machine learning algorithms (MLAs) for assessment of the large datasets for identification of critical determinants of the processes and their patterns in full interactivity with high accuracy even in the smaller samples. Arscienza also offers development of the personalised machinelearning predictive models with self-improving properties for everyday clinical-decision making.

Standard Statistics

Ordering and management of database, sample size calculation, standard statistical analysis including wide range of non-parametric and parametric tests, regression methods and similar models for meta-analyses.

The Process

1.
1 | Talk
2.
2 | Sketch
3.
3 | Determine
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4 | Create