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Statistics 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

clinical development times and regulatory review

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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Submit an abstract for an existing or future event on any topic that advances the pharmaceutical, biotechnology, medical device, and related fields.

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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.

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