Event Details

Overview

Please join us to hear Björn Holzhauer and Thomas Jemielita present their recent work.

1. Björn Holzhauer: Björn Holzhauer & Emmanuel Taiwo Adewuyi - "Super-covariates": Using predicted control group outcome as a covariate in randomized clinical trials: https://onlinelibrary.wiley.com/doi/10.1002/pst.2329

2. Thomas Jemielita: G. M. Hair, T. Jemielita, S. Mt-Isa, P. M. Schnell & R. Baumgartner - Investigating Stability in Subgroup Identification for Stratified Medicine: https://onlinelibrary.wiley.com/doi/full/10.1002/pst.2409

Post presentation discussions to information to follow.


PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.

Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.

The meetings are open to both PSI and non-PSI members.


Who is this event intended for? Anyone interested in hearing more about subgroup and covariate analyses.

What is the benefit of attending? To gain a better understanding about the stability in subgroup identification for stratified medicine and about using a predicted control group outcome as a covariate in RCTs.

Speakers

  • Björn Holzhauer (Senior Director Biostatistics of Novartis Pharma AG / Advanced Quantitative Sciences)

    Björn Holzhauer

    Senior Director Biostatistics of Novartis Pharma AG / Advanced Quantitative Sciences

    Björn holds a doctorate in mathematics from the Otto-von-Guericke University Magdeburg. He has helped develop drugs in several disease areas at Novartis for 20 years. Björn is one on the authors of a collection of case studies on applied flexible Bayesian modelling in drug development with brms. He has worked on exploring the opportunities for machine learning in clinical development.

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  • Thomas Jemielita (Principal Scientist at MSD)

    Thomas Jemielita

    Principal Scientist at MSD

    Thomas Jemielita is a Principal Scientist in Oncology Statistics, BARDS. Since joining Merck in 2017, his evolving job roles have spanned across various areas, including statistical support for early to late phase studies, biomarker studies, competitive intelligence, strategic initiatives, and real-world evidence studies. He has been actively involved in statistical research and has authored/co-authored over 20 scientific publications in peer-reviewed statistical and clinical journals, along with currently being a member of the ASA BIOP RWE Scientific Working Group for Rare Diseases. His currently research interests include causal inference, machine learning, and software development. Prior to joining Merck, Thomas received his PhD in biostatistics from the University of Pennsylvania in 2017.

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  • Chris Harbron (Expert Statistician at Roche)

    Chris Harbron

    Expert Statistician at Roche

    Chris Harbron is an Expert Statistician leading capabilities in Advanced Analytics within the Data Sciences function at Roche. Through a variety of roles within the pharmaceutical industry Chris has worked in all stages of the drug development pipeline from drug discovery to early and late development. Chris has published and presented widely both within the statistical and the broader scientific literature.

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Tickets

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