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- Publication
Podium and posters at ICPE All Access Virtual Meeting, September 16-17, 2020.
- Press Releases
Panalgo’s new Data Science module seamlessly integrates machine-learning techniques to identify new insights for patient care
- News & Events
ICPE All Access: 35 Years of Real-World Science September 16-17, 2020
- Articles
Life Science Leader article from VP of Modeling & Evidence, Matt Sussman.
- Publication
Authors: Matthew Sussman, Jeffrey C Yu, Joseph Menzin Published: Applied Health Economics Health Policy Click here to view the article.
- Press Releases
Panalgo, which conveys “an algorithm for everything,” aligns with company vision of streamlining analytics, enabling pharma, payers, and providers to make more impactful decisions
The Importance of Accounting for Time-Related Bias in Single-Arm Trials with Historical Controls (Part 2)
In our previous blog post, we sat down with Dr. Samy Suissa, the co-founder and principal investigator of the Canadian Network for Observational Drug Effect Studies,
The Importance of Accounting for Time-Related Bias in Single-Arm Trials with Historical Controls (Part 1)
Randomized control trials (RCTs) are typically heralded as the gold standard in clinical trial design. However, regulatory agencies are increasingly recognizing the role of single-arm
Using Machine Learning in the Evolving Landscape of Real-World Data
In this article with HIT Consultant, Zeynep Icten, PhD, (Director of Data Science Solutions at Panalgo) discusses the predictive power of machine learning for healthcare
Webinar – Preparing a Successful ICER Strategy: Lessons from the Frontlines
How do you prepare for a successful ICER strategy? We asked three industry experts what the key components of a successful ICER evaluation strategy are
Panalgo to Present at ISPOR Europe 2021
Trends in Thrombotic and Cardiovascular Events Among Hospitalized Patients with COVID-19 in the US: Findings from a Large Electronic Health Records Database. Zeynep Icten, MS,
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