Outcome Project aids allied health organizations in studying the frequency, distribution, and determinants of health-related events.
Plan the collection, management, analysis, interpretation, and presentation of your data based on relevant literature reviews and client interviews. This includes choosing the right technology architecture and the scientific method to process the data and generate information.
Employ a variety of computer languages, technologies, statistical science, and machine learning to carry out the complex tasks of retrieving, cleaning, analyzing, and interpreting your data and making it accessible to you.
Our team makes sense of your data from a statistical and scientific standpoint. They perform hypothesis testing and confidence intervals using the latest and most advanced statistical tools, such as Decision Trees and Bootstrap.
Our team transforms numbers into visual representations to present information clearly and efficiently. We use the grammar of graphics paradigm to create virtually any visualization of your data.
Support the data architecture by taking care of the complex and routinary tasks involved with data processing so that you can focus on decision-making.
Prepared by Dr. José A. Bartolomei-Díaz, Data Scientist at Outcome Project
