Statistical Methodology Groups in the Pharmaceutical Industry
Jenny Devenport, Tobias Mielke, Mouna Akacha, Kaspar Rufibach, Alex Ocampo, Vivian Lanius, Marc Vandemeulebroecke, Philip Hougaard, Pierre Collin, David Wright, Jurgen Hummel, Cornelia Ursula Kunz, and Mike Krams

TL;DR
Dedicated statistical methodology groups in the pharmaceutical industry play a crucial role in developing and validating innovative approaches to improve clinical trial efficiency, success rates, and drug development processes.
Contribution
This paper analyzes the setup, roles, and organizational factors of methodology groups, highlighting their strategic importance and impact on pharmaceutical R&D.
Findings
Methodology groups enhance clinical trial design and analysis.
Collaboration with external partners accelerates innovation.
Rigorous validation is key for integrating statistical methods.
Abstract
Research and Development is the largest budget position in the pharmaceutical industry, with clinical trials being a critical, yet costly and time-consuming component to inform decisions. Beyond drug efficacy, the probability of success and efficiency of research and development are highly dependent on the approaches used for designing, analyzing, and interpreting clinical trials. Deep understanding of statistical methodology and quantitative approaches is therefore essential. Consequently, dedicated methodology groups have emerged in mid-size and large pharmaceutical companies and CROs. Their remit is to lead the conception and implementation of innovative quantitative methodologies in order to improve drug development, often by addressing complexities or offering more efficient designs. To achieve this, they collaborate internally and externally (e.g., with academics, regulators) to…
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Taxonomy
TopicsStatistical Methods in Clinical Trials · Optimal Experimental Design Methods · Biosimilars and Bioanalytical Methods
