How I treat pediatric acute myeloid leukemia

JE Rubnitz, GJL Kaspers - Blood, The Journal of the American …, 2021 - ashpublications.org
Abstract Treatment outcomes for pediatric patients with acute myeloid leukemia (AML) have
continued to lag behind outcomes reported for children with acute lymphoblastic leukemia …

Moving beyond 3+ 3: the future of clinical trial design

R Kurzrock, CC Lin, TC Wu, BP Hobbs… - American Society of …, 2021 - ascopubs.org
Misgivings have been raised about the operating characteristics of the canonical 3+ 3 dose-
escalation phase I clinical trial design. Yet, the traditional 3+ 3 design is still the most …

TITE‐BOIN12: A Bayesian phase I/II trial design to find the optimal biological dose with late‐onset toxicity and efficacy

Y Zhou, R Lin, JJ Lee, D Li, L Wang, R Li… - Statistics in …, 2022 - Wiley Online Library
In the era of immunotherapies and targeted therapies, the focus of early phase clinical trials
has shifted from finding the maximum tolerated dose to identifying the optimal biological …

DROID: dose-ranging approach to optimizing dose in oncology drug development

B Guo, Y Yuan - Biometrics, 2023 - academic.oup.com
In the era of targeted therapy, there has been increasing concern about the development of
oncology drugs based on the “more is better” paradigm, developed decades ago for …

Novel clinical trial designs with dose optimization to improve long-term outcomes

PF Thall, Y Zang, AG Chapple, Y Yuan, R Lin… - Clinical Cancer …, 2023 - AACR
Conventional designs for choosing a dose for a new therapy may select doses that are
unsafe or ineffective and fail to optimize progression-free survival time, overall survival time …

[图书][B] Model-assisted Bayesian designs for dose finding and optimization: methods and applications

Y Yuan, R Lin, JJ Lee - 2022 - taylorfrancis.com
Bayesian adaptive designs provide a critical approach to improve the efficiency and success
of drug development that has been embraced by the US Food and Drug Administration …

Optimizing dose-schedule regimens with bayesian adaptive designs: opportunities and challenges

X Chen, R He, X Chen, L Jiang, F Wang - Frontiers in Pharmacology, 2023 - frontiersin.org
Due to the small sample sizes in early-phase clinical trials, the toxicity and efficacy profiles of
the dose-schedule regimens determined for subsequent trials may not be well established …

Seamless phase II/III design: a useful strategy to reduce the sample size for dose optimization

L Jiang, Y Yuan - JNCI: Journal of the National Cancer Institute, 2023 - academic.oup.com
Background The traditional more-is-better dose selection paradigm, originally developed for
cytotoxic chemotherapeutics, can be problematic when applied to the development of novel …

gBOIN‐ET: The generalized Bayesian optimal interval design for optimal dose‐finding accounting for ordinal graded efficacy and toxicity in early clinical trials

K Takeda, S Morita, M Taguri - Biometrical Journal, 2022 - Wiley Online Library
One of the primary objectives of an oncology dose‐finding trial for novel therapies, such as
molecular targeted agents and immune‐oncology therapies, is to identify an optimal dose …

[HTML][HTML] An overview of the BOIN design and its current extensions for novel early-phase oncology trials

R Ananthakrishnan, R Lin, C He, Y Chen, D Li… - Contemporary Clinical …, 2022 - Elsevier
Abstract Bayesian Optimal Interval (BOIN) designs are a class of model-assisted dose-
finding designs that can be used in oncology trials to determine the maximum tolerated dose …