Observational Data Science Studies
background

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.


approach

Process of task implementing included:

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


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our expertise in

Health IT Technologies

Data Analytics

Big Data Science
ETL
MapReduce
Hadoop

Data Warehouses

Relational Data Bases
SQL Server
Redshift

Hardware and Infrastructure

Cloud Computing
DevOps
AWS EC2
AWS S3

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.