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Ways to Make Randomized Clinical Trials More Statistically Efficient

Abstract

This presentation covers several ways to make clinical trials more efficient and to reduce the chance of ending with an equivocal result. Some of the approaches covered are Bayesian sequential designs allowing for study extension if results are promising, not being tied by type I assertion probabilities/α spending, using high-information longitudinal ordinal outcomes, and covariate adjustment.

Date
2020-10-23 00:00
Event
  • UCLA Cardiology Grand Rounds 2020-10-23
  • Vanderbilt University Department of Biostatistics 2020-11-18
Frank Harrell
Frank Harrell
Professor of Biostatistics

My research interests include Bayesian statistics, predictive modeling and model validation, statistical computing and graphics, biomedical research, clinical trials, health services research, cardiology, and COVID-19 therapeutics.

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