A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS

10.5705/ss.202020.0412

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Bibliographic Details
Main Authors:	Choi, Kwok Pui, Lai, Tze Leung, TONG XIN, Wong, Weng Kee
Other Authors:	MATHEMATICS
Format:	Article
Published:	Academia Sinica 2021
Subjects:	Adaptive group sequential designs compound optimality criterion for toxicity and efficacy locally D-optimal and c-optimal designs
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/211396
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-211396
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spelling	sg-nus-scholar.10635-2113962024-04-17T03:01:44Z A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS Choi, Kwok Pui Lai, Tze Leung TONG XIN Wong, Weng Kee MATHEMATICS Adaptive group sequential designs compound optimality criterion for toxicity and efficacy locally D-optimal and c-optimal designs 10.5705/ss.202020.0412 STATISTICA SINICA 31 1-21 2021-12-22T01:33:07Z 2021-12-22T01:33:07Z 2021-10-01 2021-12-21T09:00:44Z Article Choi, Kwok Pui, Lai, Tze Leung, TONG XIN, Wong, Weng Kee (2021-10-01). A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS. STATISTICA SINICA 31 : 1-21. ScholarBank@NUS Repository. https://doi.org/10.5705/ss.202020.0412 1017-0405 https://scholarbank.nus.edu.sg/handle/10635/211396 Academia Sinica Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Adaptive group sequential designs compound optimality criterion for toxicity and efficacy locally D-optimal and c-optimal designs
spellingShingle	Adaptive group sequential designs compound optimality criterion for toxicity and efficacy locally D-optimal and c-optimal designs Choi, Kwok Pui Lai, Tze Leung TONG XIN Wong, Weng Kee A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS
description	10.5705/ss.202020.0412
author2	MATHEMATICS
author_facet	MATHEMATICS Choi, Kwok Pui Lai, Tze Leung TONG XIN Wong, Weng Kee
format	Article
author	Choi, Kwok Pui Lai, Tze Leung TONG XIN Wong, Weng Kee
author_sort	Choi, Kwok Pui
title	A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS
title_short	A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS
title_full	A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS
title_fullStr	A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS
title_full_unstemmed	A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS
title_sort	statistical approach to adaptive parameter tuning in nature-inspired optimization and optimal sequential design of dose-finding trials
publisher	Academia Sinica
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/211396
_version_	1800915241801875456

A STATISTICAL APPROACH TO ADAPTIVE PARAMETER TUNING IN NATURE-INSPIRED OPTIMIZATION AND OPTIMAL SEQUENTIAL DESIGN OF DOSE-FINDING TRIALS

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