Live Webinar

The Real-World Evidence Landscape in Pharma

This webinar, part of our Analytics in 20 series, will cover how your organization can generate robust real-world evidence to better support your products at any point in their life cycle.

Feb. 11 • 1:30 p.m. ET • Cost: Complimentary

analytics in 20

About the webinar

Real-world evidence (RWE) will continue to play a critical role in evolving the way new therapies are developed and brought to market. Unlike clinical trial data, real-world data (RWD) is big data from varied sources that can provide insight beyond the traditional randomized-controlled trial relied on in early phases of drug development and approval.

This data, often in various formats and volumes, can give insight to real patients who may never be part of a clinical trial due to not meeting inclusion criteria such as having multiple comorbidities or previous drug exposure. It also contributes to a more comprehensive picture of the whole person and their journey, as opposed to only one dimension of a patient.

The novel insights generated from analyzing this data can lead to a better understanding of a product’s effectiveness and safety once in the market. Real World Data can support identification of new therapeutic indications, aid in response to regulatory inquiries and identify additional patient populations that would benefit from the therapy. By augmenting and complementing clinical trials, the chance of trial success can be significantly increased.

Join us as we demo SAS’ accelerator for RWE, covering data management, fit-for-purpose data, governance, lineage, transparency, reproducibility and rapid cohort selection as you generate robust evidence to support your organization’s objectives.

To listen to the first part of this webinar, click here to add it to your calendar. No registration is required.

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About the Experts

Speaker 2

Jim Box, Principal Data Scientist for Life Sciences, SAS

Box provides strategic insights across the life sciences industry, with a focus on optimizing the execution of clinical trials. He spent 18 years in the CRO industry, holding leadership roles in statistics, statistical programming, data management and information technology. Throughout his career, he’s used analytics and simulation to improve business processes across all aspects of an organization. Prior to joining his current team, Box spent a year with the SAS® Solutions OnDemand Advanced Analytics Lab, working with customers on fraud detection, forecasting and modeling projects.

Speaker 2

Sherrine Eid, Principal Industry Consultant, SAS Health Care & Life Sciences

Eid has more than 20 years of experience in real-world evidence, epidemiology and biostatistics. Her passion for better public health led her to work for USAID, CDC and other donors in global health development with a focus on reproductive health and family planning and infectious diseases. Her current focus is supporting regulatory, safety, late-phase and post-marketing activities across therapeutic areas using clinical and real-world data to glean real-world insight.

Speaker 2

Stijn Rogiers, Principal Industry Consultant for Health & Life Sciences, SAS

Rogiers has more than 15 years of experience in the health and life sciences industries as a data analyst, working in a global context. He joined SAS in 2015 as an Industry Consultant and Strategist for the SAS Health and Life Sciences Global Practice group that sets the strategic direction of SAS’ health and life sciences solutions and provides industry domain knowledge to colleagues and customers. Rogiers worked both in the CRO and pharma industries before joining SAS. He is also a member of the European CDISC Coordinating Committee.

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