TriNetX, the global health research network that revolutionizes clinical research and enables discoveries through the creation of real-world evidence, announced new functionality that simplifies the way researchers conduct propensity score matching. The new capability, part of the TriNetX Research™ product line released earlier this year, eliminates the need for tedious and time-consuming programming to develop propensity score matching models.
“This new capability is another important step toward our goal of making TriNetX the one stop shop for clinical data access and analysis,” said Steve Kundrot, Chief Technology Officer at TriNetX. “The ability to develop propensity score models and balanced cohorts within the TriNetX platform and across our federated, global network provides a seamless way for researchers to continue their analytical journey in a single, secure, and governed platform.”
Propensity score matching is a method to balance cohorts to address confounders that could bias analysis efforts and result in misleading conclusions. Traditionally, performing comparative effective analysis with propensity score matching requires extensive data wrangling, research and analysis to identify potential confounders, and technical coding skills. This analysis can take a team of clinical experts and data scientists weeks, if not months, to conduct. TriNetX allows a clinical analyst to define cohorts, identify potential confounders, apply propensity score matching to balance cohorts, and analyze outcomes of interest with just a few clicks, without wrangling data or writing code.
“This new capability dramatically simplifies and expedites the process of conducting rigorous comparative effectiveness analysis,” said Alex Eastman, Vice President, Product Management at TriNetX. “Users can easily compare baseline cohort characteristics, balance cohorts, and analyze clinical effectiveness and safety. TriNetX’s combination of rich clinical data and intuitive analytics in a single platform means that users can conduct this analysis in minutes instead of weeks.”
TriNetX’s propensity score matching capability provides users yet another way to balance cohorts, in addition to stratification, which can also be easily accomplished within the TriNetX platform.
TriNetX’s cloud-based platform, TNX™, provides on-demand access to longitudinal clinical data and a set of highly intuitive analytics capabilities, enabling researchers to explore and compare cohorts, including reviewing cohort characteristics prior to an event and comparing outcomes of interest after the event. TriNetX has partnered with over 90 healthcare organizations and health data partners, spanning 16 countries, to deploy a continually updated global health research network representing over 138 million patients.