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Expertise

Headshot of Stefanie Paganelli

Stefanie Paganelli

Associate Manager

Expertise:

医療経済およびアウトカムリサーチ (HEOR)

As an Associate Manager on the Value & Evidence team at EVERSANA, Stefanie contributes to evidence synthesis projects that support global Health Economics and Outcomes Research (HEOR) initiatives.

Since joining EVERSANA in 2021, Stefanie has been involved in various evidence synthesis activities related to pharmaceutical and medical device research. Her responsibilities include supporting systematic and targeted literature reviews, feasibility assessments and indirect treatment comparisons. She has developed high-quality deliverables such as technical reports, manuscripts, and conference presentations for publication. Her work spans multiple therapeutic areas, including oncology (prostate cancer, multiple myeloma, leukemia and lymphoma) as well as dermatitis, nasal polyps and degenerative spine disease.
Stefanie holds an Honors BSc in Health Sciences with a minor in Biology and Chemistry from Wilfrid Laurier University.

Articles by Stefanie Paganelli

Cutting-edge Insights from EVERSANA's Global Value & Evidence Team
Filling in the Gaps: Predicting Treatment Effects From Surrogate Endpoints

Over the past 15 years, the treatment landscape for first-line metastatic castration-resistant prostate cancer (mCRPC) has undergone significant changes, marked by the approval and investigation of several new therapies. With multiple pharmacological treatments available for first-line mCRPC, network meta-analyses (NMAs) can serve as a valuable resource for evaluating clinical effectiveness that reflects current and local clinical practice. Recent clinical guidelines emphasize the importance of standardized reporting and evaluation of clinical trial outcomes in response to the rapidly evolving treatment landscape. However, older trials evaluating relevant treatments may lack certain outcome data, posing challenges when comparing them with recent trials designed to meet current guidelines through NMAs. Advanced statistical methods are […]

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