TY - GEN
T1 - Sensitivity Analysis in Clinical Trial Simulation at Sas Institute
AU - Jiang, Wendy Xi
AU - Biller, Bahar
AU - Box, Jim
AU - Nelson, Barry L.
N1 - Funding Information:
This work was partially supported by National Science Foundation Grant Number 1634982.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Clinical trial enrollment is expensive, important, and subject to many uncertainties. Simulation captures these uncertainties, so SAS® Institute created the Clinical Trial Enrollment Simulator (CTrES) as a tool specifically for enrollment planning. However, simulation provides no mathematical expression from which to extract sensitivity measures that are critical for problem diagnosis and management. This paper describes sensitivity analysis technology created for CTrES requiring only the output data obtained from simulation of the base scenario, and demonstrates it on a realistic enrollment planning problem for the United States.
AB - Clinical trial enrollment is expensive, important, and subject to many uncertainties. Simulation captures these uncertainties, so SAS® Institute created the Clinical Trial Enrollment Simulator (CTrES) as a tool specifically for enrollment planning. However, simulation provides no mathematical expression from which to extract sensitivity measures that are critical for problem diagnosis and management. This paper describes sensitivity analysis technology created for CTrES requiring only the output data obtained from simulation of the base scenario, and demonstrates it on a realistic enrollment planning problem for the United States.
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U2 - 10.1109/WSC52266.2021.9715389
DO - 10.1109/WSC52266.2021.9715389
M3 - Conference contribution
AN - SCOPUS:85126150716
T3 - Proceedings - Winter Simulation Conference
BT - 2021 Winter Simulation Conference, WSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Winter Simulation Conference, WSC 2021
Y2 - 12 December 2021 through 15 December 2021
ER -