2013
DOI: 10.1016/j.cmpb.2013.05.004
|View full text |Cite
|
Sign up to set email alerts
|

Web-based tools for finding optimal designs in biomedical studies

Abstract: Experimental costs are rising and applications of optimal design ideas are increasingly applied in many disciplines. However, the theory for constructing optimal designs can be esoteric and its implementation can be difficult. To help practitioners have easier access to optimal designs and better appreciate design issues, we present a web site at http://optimal-design.biostat.ucla.edu/optimal/ capable of generating different types of tailor-made optimal designs for popular models in the biological sciences. Th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 51 publications
0
2
0
Order By: Relevance
“…Optimal designs for phase I dose-toxicity studies have been well researched in the literature. Statistical software (web-based) for constructing optimal designs for various nonlinear models, including the logistic model (4) is available [51,121]. Another class of optimal designs is the seamless phase I/II dose-finding trials where efficacy and toxicity are considered simultaneously.…”
Section: Discussionmentioning
confidence: 99%
“…Optimal designs for phase I dose-toxicity studies have been well researched in the literature. Statistical software (web-based) for constructing optimal designs for various nonlinear models, including the logistic model (4) is available [51,121]. Another class of optimal designs is the seamless phase I/II dose-finding trials where efficacy and toxicity are considered simultaneously.…”
Section: Discussionmentioning
confidence: 99%
“…Finding the best dose regimen and sampling times to ascertain the pharmacokinetics and pharmacodynamics of a drug are important aspects of drug development [1]. The cost of drug development continues to skyrocket, and design issues have been increasingly emphasized, not only for reining in cost but also for statistical efficiency and ethical issues for patients [2]. Finding the best design for the most accurate statistical inference at minimal cost is therefore a particularly pertinent issue in drug development.…”
Section: Introductionmentioning
confidence: 99%