Sensitivity Analysis in Clinical Trial Simulation at Sas Institute

Wendy Xi Jiang; Bahar Biller; Jim Box; Barry L. Nelson

doi:10.1109/WSC52266.2021.9715389

Sensitivity Analysis in Clinical Trial Simulation at Sas Institute

Wendy Xi Jiang, Bahar Biller, Jim Box, Barry L. Nelson

Industrial Engineering and Management Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2021 Winter Simulation Conference, WSC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665433112
DOIs	https://doi.org/10.1109/WSC52266.2021.9715389
State	Published - 2021
Event	2021 Winter Simulation Conference, WSC 2021 - Phoenix, United States Duration: Dec 12 2021 → Dec 15 2021

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2021-December
ISSN (Print)	0891-7736

Conference

Conference	2021 Winter Simulation Conference, WSC 2021
Country/Territory	United States
City	Phoenix
Period	12/12/21 → 12/15/21

Funding

This work was partially supported by National Science Foundation Grant Number 1634982.

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

Access to Document

10.1109/WSC52266.2021.9715389

Cite this

@inproceedings{a1842d8b401d488a94a181d7159b0db8,

title = "Sensitivity Analysis in Clinical Trial Simulation at Sas Institute",

abstract = "Clinical trial enrollment is expensive, important, and subject to many uncertainties. Simulation captures these uncertainties, so SAS{\textregistered} 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.",

author = "Jiang, {Wendy Xi} and Bahar Biller and Jim Box and Nelson, {Barry L.}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Winter Simulation Conference, WSC 2021 ; Conference date: 12-12-2021 Through 15-12-2021",

year = "2021",

doi = "10.1109/WSC52266.2021.9715389",

language = "English (US)",

series = "Proceedings - Winter Simulation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 Winter Simulation Conference, WSC 2021",

address = "United States",

}

Jiang, WX, Biller, B, Box, J & Nelson, BL 2021, Sensitivity Analysis in Clinical Trial Simulation at Sas Institute. in 2021 Winter Simulation Conference, WSC 2021. Proceedings - Winter Simulation Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., 2021 Winter Simulation Conference, WSC 2021, Phoenix, United States, 12/12/21. https://doi.org/10.1109/WSC52266.2021.9715389

Sensitivity Analysis in Clinical Trial Simulation at Sas Institute. / Jiang, Wendy Xi; Biller, Bahar; Box, Jim et al.
2021 Winter Simulation Conference, WSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings - Winter Simulation Conference; Vol. 2021-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85126150716&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85126150716&partnerID=8YFLogxK

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 -

Sensitivity Analysis in Clinical Trial Simulation at Sas Institute

Abstract

Publication series

Conference

Funding

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this