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Activity Number: 595
Type: Topic Contributed
Date/Time: Thursday, August 7, 2014 : 8:30 AM to 10:20 AM
Sponsor: Korean International Statistical Society
Abstract #311346
Title: Approaches for Patient Recruitment Modeling and Simulation
Author(s): Weili He*+
Companies: Merck
Keywords: Bayesian Hierarchical Models ; Adaptive Designs ; Recruitment Modeling ; Poisson-Gamma model ; Enrollment Time Prediction
Abstract:

Abstract: Accurate enrollment information is critical for timely decision-making and execution for clinical trials. Enrollment must be carefully planned and monitored in order to maximize business benefit and to achieve study objectives. This is particularly true in adaptive designs (AD) trials, where too slow or too fast patient enrollment along with inaccurate enrollment prediction will imperil the timing of and/or invalidate the planned adaptations in AD trials. This talk will discuss the key considerations for patient enrollment management and present and discuss different patient recruitment models.


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