Observational Data Science Studies obtain inferences from a sample to population where the independent variable is not under the control of the researcher because of diverse constraints.
There was need to develop new approaches to observational data analysis and to research risks of adverse reaction and mortality in patients treated with сompared drugs.
Depending on the research question, we choose relevant Logistics, Poisson regression or Cox proportional hazards for outcome model, enabling the customer to obtain the most accurate results of his scientific study.
Process of task implementing included:
Big Data Science
Relational Data Bases
Hi, we are Sciforce - a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.