Challenges When Applying Advanced Analytics to Multiple Data Sources

• Activity Number: 273 - How Advanced Analytic Tools Deliver Insights for Clinical Investigations Through Real World Data
• Type: Invited
• Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
• Sponsor: Biopharmaceutical Section
• Author(s): David Ohlssen*
• Companies: Novartis
• Keywords: causal inference ; statistical machine learning ; Real World Evidence; Bayesian Statistics

Abstract

A more accurate understanding of prognosis and disease progression often requires synthesizing data from multiple domains (e.g. clinical trials, RWE, registry, digital, omics platform). Although, each source can provide valuable information, they are often difficult to link. Put simply, each source collects different data making any analytics strategy challenging. This talk will discuss the complications faced when using different types of data and provide examples of synthesis using advanced analytics, statistical machine learning and causal inference approaches.