Observational Data Science Studies

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.

business challenges

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.

value delivered

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:

  • 1. Applying of statistical method for large-scale analytics.
  • 2. Constructing population-level estimation (comparative effectiveness, safety surveillance).

you may interested in other

Case Studies

  • Cohort Definition
    and Build

    view details

    View more

  • Common Patient Data Model (CDM) Development

    view details

    View more

  • Predictive

    view details

    View more

our expertise in

Health IT Technologies

Data Analytics

Big Data Science

Data Warehouses

Relational Data Bases
SQL Server

Hardware and Infrastructure

Cloud Computing

are you ready to see your software project getting real?

contact us

about us

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.