A Bayesian design for dual-agent dose optimization with targeted therapies
Fuente:
arXiv
Saved in:
| Main Authors: | Jiménez, José L., Tighiouart, Mourad |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BARD: A seamless two-stage dose optimization design integrating backfill and adaptive randomization
by: Zhao, Yixuan, et al.
Published: (2024)
by: Zhao, Yixuan, et al.
Published: (2024)
Bayesian optimal experimental design with Wasserstein information criteria
by: Helin, Tapio, et al.
Published: (2025)
by: Helin, Tapio, et al.
Published: (2025)
Balancing the effective sample size in prior across different doses in the curve-free Bayesian decision-theoretic design for dose-finding trials
by: Xu, Jiapeng, et al.
Published: (2025)
by: Xu, Jiapeng, et al.
Published: (2025)
The benefit of dose-exposure-response modeling in the estimation of dose-response relationship and dose optimization: some theoretical and simulation evidence
by: Wang, Jixian, et al.
Published: (2025)
by: Wang, Jixian, et al.
Published: (2025)
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
by: Li, Fengyi, et al.
Published: (2024)
by: Li, Fengyi, et al.
Published: (2024)
Gibbs optimal design of experiments
by: Overstall, Antony M., et al.
Published: (2023)
by: Overstall, Antony M., et al.
Published: (2023)
Optimal designs for identifying effective doses in drug combination studies
by: Schürmeyer, Leonie, et al.
Published: (2025)
by: Schürmeyer, Leonie, et al.
Published: (2025)
A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)
by: Luo, Yu, et al.
Published: (2025)
U-DESPE: a Bayesian Utility-based methodology for dosing regimen optimization in early-phase oncology trials based on Dose-Exposure, Safety, Pharmacodynamics, Efficacy
by: Andrillon, Anaïs, et al.
Published: (2025)
by: Andrillon, Anaïs, et al.
Published: (2025)
Bayesian regression discontinuity design with unknown cutoff
by: Kowalska, Julia, et al.
Published: (2024)
by: Kowalska, Julia, et al.
Published: (2024)
Sequential design for surrogate modeling in Bayesian inverse problems
by: Lartaud, Paul, et al.
Published: (2024)
by: Lartaud, Paul, et al.
Published: (2024)
Using joint models in phase I dose-finding designs in oncology: considerations for frequentist approaches
by: Chen, Xijin, et al.
Published: (2025)
by: Chen, Xijin, et al.
Published: (2025)
The Bayesian optimal two-stage design for clinical phase II trials based on Bayes factors
by: Kelter, Riko, et al.
Published: (2025)
by: Kelter, Riko, et al.
Published: (2025)
A maximin optimal approach for sampling designs in two-phase studies
by: Wang, Ruoyu, et al.
Published: (2023)
by: Wang, Ruoyu, et al.
Published: (2023)
A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
by: Han, Linxi, et al.
Published: (2025)
by: Han, Linxi, et al.
Published: (2025)
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
by: Sweeting, Michael, et al.
Published: (2024)
by: Sweeting, Michael, et al.
Published: (2024)
Bayesian optimal change point detection in high-dimensions
by: Kim, Jaehoon, et al.
Published: (2024)
by: Kim, Jaehoon, et al.
Published: (2024)
An adaptive design for optimizing treatment assignment in randomized clinical trials
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
Fixed-budget optimal designs for multi-fidelity computer experiments
by: Chen, Gecheng, et al.
Published: (2024)
by: Chen, Gecheng, et al.
Published: (2024)
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
by: Saves, Paul, et al.
Published: (2025)
by: Saves, Paul, et al.
Published: (2025)
Ecient spatial designs for targeted regions or level set detection
by: Coly, Sylvain, et al.
Published: (2024)
by: Coly, Sylvain, et al.
Published: (2024)
TITE-CLRM: Towards efficient time-to-event dose-escalation guidance of multi-cycle cancer therapies
by: Widmer, Lukas Andreas, et al.
Published: (2024)
by: Widmer, Lukas Andreas, et al.
Published: (2024)
A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
by: McGree, James M., et al.
Published: (2023)
by: McGree, James M., et al.
Published: (2023)
From aggressive to conservative early stopping in Bayesian group sequential designs
by: He, Zhangyi, et al.
Published: (2026)
by: He, Zhangyi, et al.
Published: (2026)
Revisiting the apparent discrepancy between the frequentist and Bayesian interpretation of an adaptive design
by: Kristensen, Simon Bang, et al.
Published: (2025)
by: Kristensen, Simon Bang, et al.
Published: (2025)
Two-level D- and A-optimal designs of Ehlich type with run sizes three more than a multiple of four
by: Hameed, Mohammed Saif Ismail, et al.
Published: (2025)
by: Hameed, Mohammed Saif Ismail, et al.
Published: (2025)
BUPD: A Bayesian under-parameterized basket design with the unit information prior in oncology trials
by: Kitabayashi, Ryo, et al.
Published: (2024)
by: Kitabayashi, Ryo, et al.
Published: (2024)
Bayesian design for mathematical models of fruit growth based on misspecified prior information
by: Najimuddin, Nushrath, et al.
Published: (2024)
by: Najimuddin, Nushrath, et al.
Published: (2024)
A Bayesian adaptive enrichment design using aggregate historical data to inform individualized treatment recommendations
by: Maleyeff, Lara, et al.
Published: (2026)
by: Maleyeff, Lara, et al.
Published: (2026)
Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data
by: Etfer, Laura, et al.
Published: (2024)
by: Etfer, Laura, et al.
Published: (2024)
Bayesian integration G-formula for platform SMART designs allowing for adding new treatments
by: Wang, Xinru, et al.
Published: (2026)
by: Wang, Xinru, et al.
Published: (2026)
A fast, flexible simulation framework for Bayesian adaptive designs -- the R package BATSS
by: Couturier, Dominique-Laurent, et al.
Published: (2024)
by: Couturier, Dominique-Laurent, et al.
Published: (2024)
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
by: Nießl, Christina, et al.
Published: (2021)
by: Nießl, Christina, et al.
Published: (2021)
An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
by: Maleyeff, Lara, et al.
Published: (2024)
by: Maleyeff, Lara, et al.
Published: (2024)
Two-level D- and A-optimal main-effects designs with run sizes one and two more than a multiple of four
by: Hameed, Mohammed Saif Ismail, et al.
Published: (2024)
by: Hameed, Mohammed Saif Ismail, et al.
Published: (2024)
Dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials
by: Silva, Rebecca B., et al.
Published: (2025)
by: Silva, Rebecca B., et al.
Published: (2025)
Robust estimation of causal dose-response relationship using exposure data with dose as an instrumental variable
by: Wang, Jixian, et al.
Published: (2025)
by: Wang, Jixian, et al.
Published: (2025)
Single and multi-objective optimal designs for group testing experiments with a focus on screening for an infectious disease
by: Yeh, Chi-Kuang, et al.
Published: (2025)
by: Yeh, Chi-Kuang, et al.
Published: (2025)
Bayesian Rao test for distributed target detection in interference and noise with limited training data
by: Xiao, Daipeng, et al.
Published: (2025)
by: Xiao, Daipeng, et al.
Published: (2025)
Bayesian analysis for pretest-posttest binary outcomes with adaptive significance levels
by: Hoyos, Alejandra Estefanía Patiño, et al.
Published: (2024)
by: Hoyos, Alejandra Estefanía Patiño, et al.
Published: (2024)
Similar Items
-
BARD: A seamless two-stage dose optimization design integrating backfill and adaptive randomization
by: Zhao, Yixuan, et al.
Published: (2024) -
Bayesian optimal experimental design with Wasserstein information criteria
by: Helin, Tapio, et al.
Published: (2025) -
Balancing the effective sample size in prior across different doses in the curve-free Bayesian decision-theoretic design for dose-finding trials
by: Xu, Jiapeng, et al.
Published: (2025) -
The benefit of dose-exposure-response modeling in the estimation of dose-response relationship and dose optimization: some theoretical and simulation evidence
by: Wang, Jixian, et al.
Published: (2025) -
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
by: Li, Fengyi, et al.
Published: (2024)