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Network meta-analysis within launch and commercialisation

About This Webinar

How can we find the best remedy for the market more effectively? More efficiently? How can we best indirectly compare treatments? Under which circumstances can this work?

Join Anton Schoenstein, Statistician II, and Federico Bonofiglio, Senior Statistician, at Veramed as they discuss the benefits of network meta-analysis and how they can be used within the launch and commercialisation stage of your remedy.

With guest speaker Alexander Schacht, Head of Launch & Commercialisation Data Sciences at Veramed, showcasing his personal experience of NMAs, discover exactly what network meta-analysis is, what types of networks there are, the common pitfalls of NMAs, and the benefits they bring to the launch and commercialisation space.

Agenda
  • What is network meta-analysis (NMA) and why do we need it?
  • What types of network are there?
  • What are some common misconceptions of NMAs?
  • How are they used to improve the launch & Commercialisation of remedies?
  • What do the regulators say?
Who can view: Channel admins and those who can manage the webinar
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Statistician II
Anton is well experienced in academic research projects in the field of psychological and medical ageing research, ranging from observational designs to interventional trials, and from exploratory post-hoc analyses to prespecified confirmatory approaches. Anton has taught introductory statistics at the Institute for Gerontology (IfG), Heidelberg University, as well as offered internal statistical consulting to junior and senior researchers of the Network Aging Research at Heidelberg University.

At Veramed he is part of the Launch and Commercialisation Team and
currently focusses on projects related to evidence synthesis.

As a multilingual (German, English, Hungarian and French) Statistician, Anton is able to communicate and work more effectively with teams on a global scale. Anton’s ability to truly understand both the wider goals of the client and intimate needs of a given project makes him a unique talent and a real asset to any team.
Webinar hosting presenter
Senior Statistician I
Federico has over 11 years of experience as a Biostatistician across therapeutic areas such as Oncology, NIS, and Real World Evidence. He brings together a range of technical and personnel skills to become an integral member of the team that takes a hands-on approach to his work.

Federico is able to apply a wide range of methodological approaches to solve real problems based on genomic data, complex time-to-event data, as well as epidemiological and observational data. He has published methodological research, presented at various conferences and is a proven leader with excellent project management skills and supervisory experience.
Webinar hosting presenter
Executive VP of Launch and Development Data Sciences
Alexander drives all services around the non-regulatory work. He contributes his 20+ years of experience to ensure high quality data-driven decisions within sponsors and for patients, physicians, and payers.

Alexander worked in leading positions for sponsors over the first 2 decades of the century in various indications including immunology, virology, neuroscience, urology, respiratory, and psychiatry. He has expertise across all clinical phases. Since 2004, he has concentrated on successfully launching and commercializing new treatments.

Alexander holds a PhD in Biostatistics and is an active member of Statisticians in Pharmaceutical Industry (PSI) where he served on the board of directors, founded and chaired the Visualization Special Interest group, chaired the Benefit-Risk Special Interest group, and contributed to many conferences, webinars, and one-day-events.

In 2018, he launched The Effective Statistician podcast in association with PSI in which he shares his insights around leadership, innovation, knowledge, and excellence required for a successful career in the healthcare industry. Dozens of guests across the industry and beyond helped to create a wealth of content to serve the statistical community.
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