README.md

In ohdsi-studies/ScyllaEstimation: Comparative effectiveness of emerging drug therapies in the treatment of COVID-19

Project Sc(y)lla Estimation: SARS-Cov-2 Large-scale Longitudinal Analyses on the comparative safety and effectiveness of treatments under evaluation for COVID-19 across an international observational data network

• Analytics use case(s): Population-Level Estimation
• Study type: Clinical Application
• Tags: OHDSI, Study-a-thon, COVID-19
• Study lead: George Hripcsak, Daniel Prieto-Alhambra, Patrick Ryan, Peter Rijnbeck, Marc Suchard
• Study lead forums tag: Daniel_Prieto
• Study start date: TBD
• Study end date: TBD
• Protocol: PDF
• Publications: -
• Results explorer: https://data.ohdsi.org/ScyllaEstimation/

Objectives: The aim of this study is to the comparative effectiveness and safety of all emerging drug therapies used in COVID-19 treatment.

Specifically, the study has the following objectives:

1) To assess comparative effectiveness and safety among treatments administered during hospitalization and prior to intensive services, and 2) To assess comparative effectiveness and safety among treatments administered after COVID-19 positive testing or diagnosis in outpatient setting without prior hospitalization

Package Usage

The following will guide you through the package setup and execution process:

• Study package setup: Guides you through the steps to install the study package.
• Study execution: Guides you through the steps to execute the study package.

Development status

Ready for use

ohdsi-studies/ScyllaEstimation documentation built on Dec. 20, 2020, 3:06 a.m.