Practical considerations for the implementation of adaptive designs for oncology Phase I dose-finding trials

The traditional 3 + 3 design continues to be commonly used for Phase I dose-finding oncology trials, despite increasing criticisms and development of innovative methods. Unfortunately, it is a challenge to convince principal investigators to use novel designs. The goal of this paper is to persuade r...
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Gespeichert in:

Autor*in:	Lai Wei [verfasserIn] Xueliang Pan [verfasserIn] Soledad Fernandez [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	3 + 3 adaptive designs algorithm-based model-assisted model-based oncology Phase I dose-finding design

Übergeordnetes Werk:	In: Future Drug Discovery - Future Science Ltd, 2021, 1(2019), 2
Übergeordnetes Werk:	volume:1 ; year:2019 ; number:2

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.4155/fdd-2019-0021

Katalog-ID:	DOAJ016317351

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spelling	10.4155/fdd-2019-0021 doi (DE-627)DOAJ016317351 (DE-599)DOAJbc44c1d07dff474eb688ebdd90deb6b6 DE-627 ger DE-627 rakwb eng RS1-441 Lai Wei verfasserin aut Practical considerations for the implementation of adaptive designs for oncology Phase I dose-finding trials 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The traditional 3 + 3 design continues to be commonly used for Phase I dose-finding oncology trials, despite increasing criticisms and development of innovative methods. Unfortunately, it is a challenge to convince principal investigators to use novel designs. The goal of this paper is to persuade researchers to break away from 3 + 3 design and provide potential solutions to better designs and implementation strategy. We reviewed the statistical methods for adaptive Phase I designs. The barriers among all the major components of the implementation team have been emphasized and potential solutions have been discussed. Institutional support to the principal investigators and statistician, as well as to other team members is essential to design and implement adaptive trials in academic medical institutions. 3 + 3 adaptive designs algorithm-based model-assisted model-based oncology Phase I dose-finding design Pharmacy and materia medica Xueliang Pan verfasserin aut Soledad Fernandez verfasserin aut In Future Drug Discovery Future Science Ltd, 2021 1(2019), 2 (DE-627)1760793973 26313316 nnns volume:1 year:2019 number:2 https://doi.org/10.4155/fdd-2019-0021 kostenfrei https://doaj.org/article/bc44c1d07dff474eb688ebdd90deb6b6 kostenfrei https://www.future-science.com/doi/10.4155/fdd-2019-0021 kostenfrei https://doaj.org/toc/2631-3316 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2019 2
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authorswithroles_txt_mv	Lai Wei @@aut@@ Xueliang Pan @@aut@@ Soledad Fernandez @@aut@@
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callnumber-first	R - Medicine
author	Lai Wei
spellingShingle	Lai Wei misc RS1-441 misc 3 + 3 misc adaptive designs misc algorithm-based misc model-assisted misc model-based misc oncology Phase I dose-finding design misc Pharmacy and materia medica Practical considerations for the implementation of adaptive designs for oncology Phase I dose-finding trials
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topic_title	RS1-441 Practical considerations for the implementation of adaptive designs for oncology Phase I dose-finding trials 3 + 3 adaptive designs algorithm-based model-assisted model-based oncology Phase I dose-finding design
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title	Practical considerations for the implementation of adaptive designs for oncology Phase I dose-finding trials
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title_sort	practical considerations for the implementation of adaptive designs for oncology phase i dose-finding trials
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title_auth	Practical considerations for the implementation of adaptive designs for oncology Phase I dose-finding trials
abstract	The traditional 3 + 3 design continues to be commonly used for Phase I dose-finding oncology trials, despite increasing criticisms and development of innovative methods. Unfortunately, it is a challenge to convince principal investigators to use novel designs. The goal of this paper is to persuade researchers to break away from 3 + 3 design and provide potential solutions to better designs and implementation strategy. We reviewed the statistical methods for adaptive Phase I designs. The barriers among all the major components of the implementation team have been emphasized and potential solutions have been discussed. Institutional support to the principal investigators and statistician, as well as to other team members is essential to design and implement adaptive trials in academic medical institutions.
abstractGer	The traditional 3 + 3 design continues to be commonly used for Phase I dose-finding oncology trials, despite increasing criticisms and development of innovative methods. Unfortunately, it is a challenge to convince principal investigators to use novel designs. The goal of this paper is to persuade researchers to break away from 3 + 3 design and provide potential solutions to better designs and implementation strategy. We reviewed the statistical methods for adaptive Phase I designs. The barriers among all the major components of the implementation team have been emphasized and potential solutions have been discussed. Institutional support to the principal investigators and statistician, as well as to other team members is essential to design and implement adaptive trials in academic medical institutions.
abstract_unstemmed	The traditional 3 + 3 design continues to be commonly used for Phase I dose-finding oncology trials, despite increasing criticisms and development of innovative methods. Unfortunately, it is a challenge to convince principal investigators to use novel designs. The goal of this paper is to persuade researchers to break away from 3 + 3 design and provide potential solutions to better designs and implementation strategy. We reviewed the statistical methods for adaptive Phase I designs. The barriers among all the major components of the implementation team have been emphasized and potential solutions have been discussed. Institutional support to the principal investigators and statistician, as well as to other team members is essential to design and implement adaptive trials in academic medical institutions.
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