Speaker
\nBiography
\nAbstract
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\n Judith Anzures-C
abrera\, Roche
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Judith\, a statistician with 17 years at Roche\, has worked on several therapeutic areas\, focusing on Parkinson 's Disease since 2019. Judith represents Roche at the Estimands Implementa tion Working Group where she has supported the implementation of the &ldqu o\;Estimands Academy for Trial Teams&rdquo\;. Prior to Roche\, she worked at the MRC Biostatistics Unit in Cambridge and obtained her PhD from the U niversity of Warwick.
\nUnmasking Estimands: A Hands-On Workshop for Cur ious Statisticians
\n Are you a young statistician navigating the exciting world of clinical trials in the pharmaceutical ind ustry? Curious about the buzzword "estimand" and how it could make or brea k your study? Join us for an engaging and interactive session where we&rsq uo\;ll crack open the estimand framework\, unravel its importance\, and ex plore how it influences clinical trial design. You'll dive into a real-wor ld example that brings estimands to life\, and roll up your sleeves to bra instorm the right questions to ask a Clinical Scientist based on specific trial objectives. As a bonus\, you&rsquo\;ll hear how my favorite soup lin ks to the estimand framework in the most unexpected way. Curious? Come alo ng to find out!
\n Lizzi Pitt\, GSK
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\nLizzi&rsquo \;s interest in the pharmaceutical industry started with a placement year during her maths and stats degree at Bath\; Lizzi spent the year in a pre- clinical statistics group at Pfizer. She continued at Bath\, joining the S AMBa doctoral training centre (Statistical Applied Mathematics at Bath). T his consisted of an MRes followed by a PhD and appealed to her because it had a strong focus on industry collaboration. Lizzi&rsquo\;s PhD topic was optimising first in human trial designs. During her studies she undertook several summer placements\, at UCB\, Roche and a data science consultancy which greatly improved her R skills. After a brief post-doctoral position \, Lizzi joined the statistical innovation group at UCB. Just under three years later she moved to a similar role at GSK\, where she&rsquo\;s curren tly working. Lizzi has been volunteering within PSI Careers since 2021 and currently chairs the universities section.
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\n Ellie van Vogt\, Imperial Clinical Trials Unit (IC TU)\n
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\n \nEllie is a current NIHR Doctoral Fellow at Im perial College London\, researching the use of causal machine learning for analysing heterogeneous treatment effects (HTEs) in randomised clinical t rials (RCTs). They are interested in understanding how and when causal mac hine learning can be used in RCTs\, how these methods extend to competing risks analyses\, and how HTE results can be validated within adaptive RCTs .
\nEllie studied mathematics at Oxford University (2017 -20)\, during which they completed a statistical research methods internsh ip at Imperial Clinical Trials Unit (ICTU). Funded by an NIHR pre-doctoral fellowship (2020-22)\, Ellie completed an MSc in Health Data Analytics an d Machine Learning at Imperial College London and then researched methods for estimating HTEs in critical care trials at ICTU. Before starting their PhD in 2023\, Ellie worked as a network meta-analysis statistician at Imp erial\, and as a research assistant in machine learning for clinical trial s collaboration with the Alan Turing Institute and MRC Clinical Trials Uni t. During their PhD\, Ellie has undertaken an internship at Novartis in Ba sel\, Switzerland\, in the advanced methodology and data science team\, in vestigating HTE model selection techniques for RCTs.
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\nJemma Greenin\, Veramed
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Jemma Greenin is a Seni or Statistician II with a strong foundation in pharmaceutical statistics a nd early-phase clinical research. She began her journey at the University of Bath\, completing a placement year at Eli Lilly where she joined the PS I CALC team. Following this\, she earned a Master&rsquo\;s degree from the London School of Hygiene &\; Tropical Medicine and went on to join Ver amed. At Veramed\, Jemma works across a range of therapeutic areas in Earl y Phase studies and actively contributes to the PSI Careers Young Statisti cians group\, having previously lead the group.
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