As clinical trial innovations emerge, regulatory and statistical challenges become more complex. These challenges are associated with innovative approaches to the design and analysis of clinical trial data and measuring their impact. DIA provides opportunities to share and advance the integration of statistical best practices between research, industry, and regulatory professionals.
Bayesian Method of Borrowing Study-Level Historical Longitudinal Control Data for Mixed-Effects Models with Repeated Measures
Current historical borrowing methods focus on incorporating patient-level historical control information at only one time point. In this work, we propose a Bayesian hierarchical Mixed effect Models for Repeated Measures to incorporate aggregated study-level longitudinal historical control estimates into the concurrent trial that collected repeated longitudinal data.
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Content Highlights
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Meeting Highlights: DIA Innovating Clinical Trials in Europe: Unveiling the Future of Healthcare: EU-Funded Projects Transforming Real-World Evidence and Data Analytics
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New Drug Approvals in China Reached Record High in 2023
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Patient & Public Involvement – Stranded on the Adoption Curve?
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Clinical Statistics for Nonstatisticians Online Course
Register for this On-demand Training Course to learn about confidence intervals, hypothesis testing, trial designs, and methods for establishing noninferiority and equivalence.
Statistics for Medical Affairs Online Course
Develop your understanding of how to evaluate statistical data presented in medical literature.