boin - The Bayesian optimal interval BOIN design lirik syair imru al qais is a novel phase I trial design for nding the maximum tolerated dose MTD The BOIN design is motivated by top priority and concern of clinicians which is to e ectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses Bayesian Optimal Interval Design A Simple and Well Sep 1 2016 The BOIN design contains the 3 3 design and the accelerated titration design as special cases thus linking it to established phase I approaches A numerical study shows that the BOIN design generally outperforms the 3 3 design and the modified toxicity probability interval mTPI design BOIN Bayesian Optimal INterval BOIN Design for Single Approval Rx ONLY US Food and Drug Administration A comparative study of Bayesian optimal interval BOIN TimetoEvent Bayesian Optimal Interval Design to Accelerate Bayesian optimal interval BOIN design is a modelassisted phase I dosefinding design to find the maximum tolerated dose MTD The hallmark of the BOIN design is its concise decision rule making the decision of dose escalation and deescalation by simply comparing the observed doselimiting tox Dec 22 2021 The software ie a Windows desktop program called BOIN implements the BOIN designs 12 for singleagent trials singleagent trials with lateonset toxicity drugcombination trials seeking a single MTD or the MTD contour As a modelassisted design the BOIN design combines the advantages of algorithmbased designs and the BOIN design is that it achieves simplicity and superior performance at the same time The BOIN design is algorithmbased and can be implemented in a simple way similar to the traditional 33 design The BOIN design yields an average performance that is comparable to that of the continual reassessment method Nov 29 2024 BOIN Suite A Software Platform to Design and Implement Novel EarlyPhase Clinical Trials JCO Clinical Cancer Informatics 5 91101 BOIN12 differs from the recently proposed utilitybased BOIN UBOIN design in that UBOIN is a twostage design 41 for which the first stage performs dose escalation on the basis of toxicity as in conventional phase I trials and only the second stage uses the toxicityefficacy tradeoff for decision making In contrast BOIN12 is a single Abstract Bayesian optimal interval BOIN design is a modelassisted phase I dosefinding design to find the maximum tolerated dose MTD The hallmark of the BOIN design is its concise decision rule making the decision of dose escalation and deescalation by simply comparing the observed doselimiting toxicity DLT rate at the current dose with a pair of optimal dose escalation and de Bayesian Optimal Interval Design A Simple and Well The BOIN combination design provides a straightforward and robust approach to finding a single MTD for combination trials without assuming a dosetoxicity model 430 This design makes the decision of dose escalationdeescalation based on the same rule as the previously described singleagent BOIN design ie if the DLT rate at the current Aug 31 2016 Abstract Despite more than two decades of publications that offer more innovative modelbased designs the classical 3 3 design remains the most dominant phase I trial design in practice In this article we introduce a new trial design the Bayesian optimal interval BOIN design The BOIN design is easy to implement in a way similar to the 3 3 design but is more coffeeholic flexible for choosing Phase I Clinical Trial Designs Bayesian Optimal Interval The BOIN design is algorithm based and can be implemented in a simple way similar to the traditional 33 design The BOIN design yields average performance comparable to the continual reassessment method CRM in terms of selecting the MTD but has a lower risk of assigning patients to subtherapeutic or overly toxic doses Bayesian Optimal Interval Design A Simple and Well PubMed Software Download Kiosk BOIN Design Desktop Program The BOIN design is a statistical methodology for phase I dose finding clinical trials where the goal is to find the maximum tolerated dose MTD of a new drug Here the MTD is actually nested within the BOIN design when the target DLT rate is 30 and the cohort size is 3 Because the 3þ 3design requires that the number of patients treated at a dose cannot exceed 6 patients whereas the BOIN design does not impose that requirement the dose escalationdeescalation rule for 6 patients may be different between the two The BOIN design shares the simplicity of the 33 design which makes the decision of dose escalationdeescalation by comparing the observed DLT rate p with 03 13 23 06 16 and 26 The BOIN design makes the decision by comparing p with two fixed boundaries λ e and λ d which is arguably even simpler BOIN12 Bayesian Optimal Interval Phase III Trial Design for Bayesian Optimal Interval Design A Simple and Well BOIN a novel Bayesian design platform to accelerate early The BOINET BOIN Efficacy Toxicity design a phase III modelassisted design is an extension of the BOIN design that utilizes both binary efficacy and toxicity outcomes in determining the OBD The STEIN design is an extension of the BOIN design that considers drug efficacy in addition to toxicity and is based on the BOIN design boundaries Statistical Tutorial for Using Bayesian Optimal Interval Considerations for the BOIN design in oncology clinical trials What sets BOIN apart is the way it uses the observed doselimiting toxicity DLT rate at the current dose to determine dose escalation and deescalation This approach is more transparent and assessable for nonstatisticians and is simple to calibrate to fit a design goal Trial Design Ying Yuan PhD MD Anderson Cancer Center Oct 15 2018 When there are no pending data the TITEBOIN seamlessly reduces to the BOIN design Numerical studies show that the TITEBOIN design supports continuous accrual without sacrificing patient safety or the accuracy of identifying the MTD and therefore has great potential to accelerate earlyphase drug development An overview of the BOIN design and its current extensions for Jan 20 2021 BOIN is a Bayesian optimal interval design that balances simplicity and performance for finding the maximum tolerated dose MTD of a new drug It can be used for singleagent or drugcombination trials and has a lower risk of subtherapeutic or overly toxic doses BOIN Bayesian Optimal INterval BOIN Design for Single Bayesian Optimal Interval BOIN Design for Phase I Clinical Backfilling BOIN BFBOIN enables the simultaneous allocation of additional patients to doses deemed safe and demonstrating promising outcomes when employing BOIN for dose escalation This approach facilitates the enrollment of more patients across multiple doses without extending the trial duration A comparative study of abdulaziz Bayesian optimal interval BOIN
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